cc: Life Science Podcast
Chris Conner
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Top 10 cc: Life Science Podcast Episodes
Goodpods has curated a list of the 10 best cc: Life Science Podcast episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to cc: Life Science Podcast for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite cc: Life Science Podcast episode by adding your comments to the episode page.
Exploring the Epigenetic Landscape with the Six-Base Genome
cc: Life Science Podcast
09/18/24 • 36 min
Unlocking the Secrets of the Six-Base Genome
Epigenetics was somewhat vague when I was an undergraduate ( a long time ago). So I was curious to get an update on how we can investigate it more closely and what we are learning. I talked to Tom Charlesworth, Director of Market Strategy and Corporate Development at biomodal, a sequencing technology company focused on epigenetics. Tom explained how modifications beyond the traditional four DNA bases impact gene expression, development, and disease.
What is the Six-Base Genome?
Tom introduced biomodal as a sequencing technology company spun out of the University of Cambridge, focused on the interface between genetics and epigenetics. Their technology goes beyond the traditional four-base genome (A, T, G, and C) by adding two epigenetically modified bases: methylcytosine (5-MC) and hydroxymethylcytosine (5-HMC). This “six-base” approach captures critical modifications that play distinct roles in gene regulation.
5-MC is associated with repressing gene expression, often keeping certain genes “turned off,” while 5-HMC is linked to opening chromatin and activating gene expression. Understanding these modifications provides a more dynamic picture of how our genes are regulated—not just by the sequence of DNA but also by chemical marks that change over time.
Bridging the Gap Between Genetics and Function
The traditional four-base genome gives us an invaluable map of our genetic code, but it falls short of explaining how the same genetic sequence could lead to such diverse outcomes—from development to disease. Epigenetic modifications, like 5-MC and 5-HMC, offer another layer of regulation that’s essential for gene expression.
Tom highlighted research that illustrates the value of this additional information. He mentioned the work of developmental biologist Emily Hodges, who uses the six-base data to study chromatin accessibility during neuronal stem cell differentiation. Emily found that early changes in 5-HMC could predict chromatin opening, an insight that would be invisible if one only looked at 5-MC. This kind of nuanced view helps us understand the precise moments when genes are primed for activation, offering a clearer picture of developmental biology.
Applications From Oncology to Neurology
Tom described three main areas where their customers are leveraging the six-base genome: fundamental research, oncology, and neurology.
In oncology, there’s a growing recognition that multi-omic data—integrating genetic and epigenetic information—can improve cancer detection and treatment response. Tom shared examples of ongoing projects in Canada and Australia, where researchers are using six-base sequencing to better understand the complex dynamics of tumor evolution. By distinguishing between 5-MC and 5-HMC in circulating tumor DNA, they hope to pinpoint which DNA fragments originate from cancer cells, providing a more accurate snapshot of the disease’s state and progression.
The six-base genome also shows promise in neurology. Tom explained that the brain is unique because it has an unusually high level of 5-HMC compared to other tissues, yet we still don’t fully understand why. Early research is exploring this epigenetic landscape to uncover new biomarkers for diseases like Parkinson’s, Alzheimer’s, and various brain tumors. The ability to profile these epigenetic marks could lead to breakthroughs in diagnosing and potentially treating neurological disorders.
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Epigenetics as a “Life Record”: The Developmental and Environmental Context
Here’s another way think about the six-base genome—as a record of a cell’s developmental journey and its responses to the environment. During early development, epigenetic marks guide cells down specific paths, setting up the blueprint for tissues and organs. But later in life, these marks are influenced by external factors like diet, aging, and environmental exposures. This can lead to changes in gene expression that contribute to disease, aging, or even resilience against external stressors.
We also touched on how this concept applies to reprogramming cells, such as in induced pluripotent stem cells (IPSCs). When cells are reprogrammed, they don’t just revert to a blank slate; their epigenetic history still influences how they behave. Tom described work showing that successful reprogramming often involves restoring specific epigenetic marks, essentially rewinding the “epigenetic clock” to a more youthful state.
Rethinking DNA as the Sole Blueprint
Traditionally, DNA has been viewed as the ul...
Identifying Bacteria in Clinical Samples by Raman Spectroscopy and Machine Learning
cc: Life Science Podcast
08/02/23 • 33 min
For a patient with sepsis (an infection in the blood), the chance of survival decreases by 7-10% every hour. It’s important to quickly identify what bacteria are present and which antibiotics might be effective.
Typically, there are very few bacteria in the blood. Culturing bacteria from a sample can take 12-24 hours and then one needs to test for drug susceptibility. Speeding up this process would save a lot of lives.
Jen Dionne and her collaborators at Stanford are working on this problem using Raman spectroscopy. Through a combination of nanophotonics, acoustic bioprinting, and machine learning, they are developing methods to quickly and sensitively identify bacteria and screen for antibiotic susceptibility.
What is Raman Spectroscopy?
Raman spectroscopy is basically inelastic photon scattering. So if you think about having a laser or some other monochromatic light source, you shine that onto your sample, say onto a cell, like a bacterial cell. And the molecular vibrations in that sample basically add to or subtract from the energy of the laser source.
You wind up with a fingerprint or a series of scattered wavelengths that are different from your incident wavelength. And you can use that spectrum to identify the constituents of what's in your sample.
Raman spectra of complex mixtures appear as a wavy line, more like a snapshot of an oscillating jump rope than a series of distinct peaks that you would get from a pure sample of a small molecule.
Here is what you need to know:
It’s possible to do Raman spectroscopy on whole cells. By training machine learning models on thousands of bacterial samples, Raman can identify different bacterial species and determine which ones are resistant to specific antibiotics.
Raman is typically not very sensitive but the efficiency goes up by the 4th power of the electric field strength. Surface Enhanced Raman Spectroscopy (SERS) using nanoparticles made of superconducting materials can focus light energy to a very small region without heating and destroying the sample, boosting the sensitivity. The added sensitivity allows the collection of more data (better resolution, more specificity).
Spectra can be collected in flight as droplets (of blood for example) are acoustically ejected at kilohertz frequencies and printed on a substrate. The identification of bacteria by the spectra can be confirmed by electron microscopy of printed drops on the substrate.
Rapid diagnosis of sepsis is just one possible application. Analysis of environmental samples and wastewater epidemiology are also possible with this method.
The takeaway for me is that with a large enough data set of samples, machine learning algorithms can identify subtle features that would never be possible for a human being. Adding more data through nanophotonics opens up even more possibilities to tackle bigger problems.
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Cover Image Credit (energy states): Moxfyre, based on work of User:Pavlina2.0, CC BY-SA 3.0, via Wikimedia Commons
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Crafting Narratives with AI Based on Data
cc: Life Science Podcast
11/08/23 • 33 min
Note: For this episode, because we are discussing the narrative capabilities of AI, I asked ChatGPT to write a summary based on the transcript of our conversation. I enjoy doing these interviews and consider myself a decent writer. However, it takes a lot of time each week to write a summary that I find minimally satisfying and acceptable. You deserve better and I can put my efforts to better use elsewhere or upgrading the whole experience here. I did lightly edit this to make it sound as if I could have written it. Let me know what you think in the comments.
In this episode, I had the opportunity to chat with Matt Lewis, the Chief AI Officer at Inizio Medical. We dove into the world of artificial intelligence (AI) and its pivotal role in the field of medical affairs, particularly in aiding the commercialization of medical innovations. This conversation shed light on the remarkable ways in which AI can be harnessed to enhance decision-making, streamline data analysis, and shape the narratives around product launches.
Introduction
Inizio supports various players in the life sciences arena, including pharmaceuticals, biotechnology, medical devices, digital therapeutics, and more. Inizio helps these entities translate their scientific endeavors into compelling narratives tailored for a diverse set of stakeholders, from clinicians to regulators, payers, and patients.
AI has been a significant player in the medical field for several years. Matt, with over a decade of experience in medical affairs and 15 years in AI, highlighted how AI first emerged as a solution to address the overwhelming volume of scientific data, including clinical research, published papers, and patient information. This surge in data presented a challenge as it exceeded the capacity of an individual to process effectively.
Matt went on to explain how AI, particularly Natural Language Processing (NLP), was employed to sift through vast amounts of content. This enabled the identification of relevant terms and concepts that were crucial for strategists and scientists to focus on. It essentially acted as a tool for surfacing meaningful insights from the sea of information. The AI-driven lexicon analysis and scientific platform considerations played a vital role in ensuring that medical professionals could efficiently navigate the complex landscape of scientific data.
The Role of Subject Matter Expertise in AI
While AI is a powerful tool, it requires substantial input from subject matter experts. To effectively utilize AI, you need to define the key terms and concepts that the tool should focus on. In the medical field, this entails understanding the therapeutic area, specific indications, and relevant terms and vocabulary that are integral to the domain. Without this critical input, AI can't effectively sift through and categorize the data. It should be viewed as an amplifier of human expertise rather than a replacement for it.
Crafting Effective Narratives with AI
How can AI be used to craft narratives that resonate with various audiences? Matt explained that in the past, narrative development was often based on subjective, qualitative discussions within multidisciplinary groups. While these discussions were essential, they sometimes lacked objectivity. The loudest voices or the strongest opinions often win.
There was a lot of evidence, but sometimes the subjectivity and the qualitative nature of kind of what made sense of the organization kind of won the day, if you will. I think when we started moving into more of an evidence-centric, data-centric, AI-centric type of environment, those contributions are still there for sure, but they're kind of counterbalanced by more of an objective evidence-based approach...
AI has transformed this process by providing an evidence-centric, data-driven approach. Instead of relying solely on subjective opinions, AI can analyze data to reveal how different narratives perform in the market. For example, if several competitors dominate a specific narrative, it might not be the best strategy to enter that conversation. AI can help identify unexplored "blue ocean" areas where the competition is less intense.
Matt also highlighted that AI has evolved to provide real-time insights based on citation information, sentiment data, and relevant word associations. This dynamic approach allows companies to adjust their narratives based on changing market conditions and emerging trends. The ability to capture contextual intelligence from medical encounters, such as conversations between medical science liaisons and opinion leaders, provides valuable insights for crafting narratives. AI's role is not to replace human input but to augment it and e...
Pharmacoeconomics: Where do the numbers come from?
cc: Life Science Podcast
07/12/23 • 34 min
What is the cost to an employer of chronic presenteeism, where a person is well enough to go to work but isn’t really productive? What is the dollar value to a patient of being married in terms of health outcomes? How do you figure that out? There are so many factors to consider.
When we read that condition [fill in the blank] accounts for X dollars of lost productivity per year, I always wonder, “where does that number come from and who came up with it?” In this episode, we find out.
Lemar Ashar, a previous guest on Life Science Marketing Radio introduced me to Mark Gannott, to talk about pharmacoeconomics. We explored the cost and value of medical interventions, particularly drugs, from various stakeholders' perspectives (patients, healthcare providers, insurance companies, and healthcare systems). I was curious about the challenges of estimating disease costs and treatment impacts, where the data comes from and how it’s used to make decisions.
Genomics, including genome-wide association studies (GWAS), and polygenic risk scores also play a role, potentially improving health outcomes and reducing side effects.
We touched on a few specific use cases, such as the treatment of endometriosis and the use of polygenic risk scores in depression.
I found it fascinating to get a glimpse into how decisions around the development and use of different drugs are made.
Mark thinks that in the future, a field called precision pharmacoeconomics will incorporate personalized genomics data to assess the cost-effectiveness of drug therapies.
If you want a (sort of) quick intro into the topic, this is the episode for you.
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Cultivating Climate Solutions with Microbial Cover Crops
cc: Life Science Podcast
10/25/23 • 35 min
Barry Goldman, founder and CSO of Pluton Biosciences introduces the concept of microbial cover crops as a new and innovative approach to improving soil health and sustainable agriculture. A plant cover crop e.g. alfalfa, is typically grown in the off-season and plowed back into the field to enrich the soil before the actual crop is planted.
Barry and his team set out to see whether some bacteria can do this, particularly around nitrogen fixation, adding ammonia to the soil from the atmosphere. He points out that since the 1950s and 1960s the world’s population has gone from roughly 3 billion people to 8 billion. Some part of that is due to the use of synthetic fertilizers - ammonia made from the Haber-Bosch process. That has fed a lot of people. But that process creates a lot of greenhouse gas as well.
Is there another way to add nitrogen to the soil that avoids undesirable side effects? When Barry and I were classmates and labmates in grad school studying Salmonella genetics, We had a saying. “If you can imagine it, a bacterium is already doing it.”
Starting with a soil sample containing about 10,000 different species, the scientists at Pluton Biosciences have identified a consortia of bacteria that will grow in the absence of carbon and nitrogen except for what they can get from the air. The consortia work together using energy from the sun to reduce CO2 into usable energy sources (photosynthesis) and fix N2 to ammonia which can be used to synthesize amino acids etc.
As an additional benefit of deploying microbial cover crops on a large scale for nitrogen fixation, it’s possible to sequester a significant amount of carbon dioxide from the atmosphere.
"If you could now take this on a hundred million acres, you removed a hundred million tons of CO2 per year... you can start tackling this and give ourselves more time to come up with even better solutions. We also believe we can put on 30 pounds of nitrogen per acre. So now, if you're on that for that much, you're essentially almost turning the amount of the Haber-Bosch process to zero. That's roughly 20 percent of the greenhouse gases that are being emitted. You put those two together, now you have a massive impact on climate change."
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What would it take the bring this potential to reality?
Of course, like anything else in life science, safety and efficacy matter. These consortia need to be tested in the field. Because they are not genetically modified, the EPA would be satisfied to know that the constituents of the consortia have been identified and are typically present wherever they are intended to be applied.
The second challenge is getting farmers to test the consortia in their own field (or a portion thereof). They will want some assurance that they would at least be compensated for any reduction in yield. And to be paid for their effort as well.
Testing in real-world fields is crucial to prove that these microbial cover crops work as expected. This involves multiple phases, from starting with a few fields to expanding once efficacy and safety are demonstrated. Amazingly, the consortia create a visible crust on the soil. Similar to what we discussed in a very early episode of this podcast, drone technology and machine vision can be used to monitor the fields and gather data on microbial cover crop performance.
Oh yeah. What’s the business model? Someone needs to pay for this. If the consortia works, the grower gets value from savings on synthetic fertilizer. There is also the carbon market. Right now that’s at $15-30 per ton of carbon sequestered per acre. Finally, does the soil improve? Does it result in better yields (more revenue)?
Barry reminds us that this is not a complete solution. But microbial cover crops have the potential to put a significant dent in greenhouse gas emissions giving us more time to develop additional remedies for climate change.
Your deepest insights are your best branding. I’d love to help you share them. Chat with me about custom content for your life science brand. Or visit my website.
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AI in High Content Analysis
cc: Life Science Podcast
06/21/23 • 31 min
I went to SLAS this spring to talk to old friends, meet some new ones and learn whatever I could. I met Maggie Vantangoli, the Director of Marketing at Araceli Biosciences in their booth where we chatted about the use of artificial intelligence (AI) for high content analysis (HCA) in drug discovery and development.
She was kind enough to join me on this podcast and fill in the (large) holes in my knowledge of cell biology. HCA is basically automated microscopy and analysis of fluorescently-stained (or otherwise) cells to identify changes caused by various compounds. This rich phenotypic information can provide valuable insights into how a drug or compound might work or whether it could be toxic.
You can listen to the podcast to learn about how HCA is used to group compounds based on the morphological changes in cells exposed to them.
A few things stood out for me. In terms of AI, the most interesting application was that of unsupervised learning, where the AI can learn to detect patterns that a human might not look for or even see if they were looking. One can imagine that a lot of information about biology could be uncovered aside from evaluating potential therapies.
When I asked about where HCA might go in the future, Maggie talked about doing tests on organoids as a replacement for animal models. This is a topic that has come up in a few of my conversations lately on and off this podcast.
I also asked Maggie what she thought about the possibilities for combining HCA with DoE (Design of Experiments) that I featured a few episodes back. Thankfully, she listened to that episode. (You should too.)
I definitely think there are amazing applications here and you know, I think it's a massive amount of untapped potential, particularly in that high content space.
I know that different aspects of drug discovery are getting there, particularly like the structure-activity type relationships. But I think this is a completely untapped market for the DoE type of type of work and there's huge amounts of applications because high content's also, you know, per assay, like most assays in drug discovery, there's cost associated there and that's not... When you're scaling up, that is not in insignificant amounts of money. So running millions or even tens of thousands of compounds a day with staining and all the liquid handling and tips and all of that is, is quite expensive. The amount put into that one little plate is extremely expensive.
So you can kind of do your work ahead of time and, and utilize the Design of Experiments to stack the deck in your favor.
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I get a special joy out of when two episodes connect in that way. I’m going to see if we can get Maggie to come back with Markus to discuss the possibilities.
I’d love to hear what you think of this episode or the podcast overall. Feel free to drop a comment.
Also, if you want to talk about custom content for your life science brand, let’s chat.
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Revolutionizing Demos for Better Customer Experience
cc: Life Science Podcast
11/01/23 • 26 min
All of us in the life sciences are in the business of making the world healthier. The instruments and reagents we sell and the technologies and therapies that result save lives.
A scientist (after a lot of research) will look at a disease or problem and say, “I think I can find a way to fix that.”
Can we, as an industry, look at trade shows like a scientist would, and ask, “How can we do this better and stick to our mission of making the world at least less sick if not healthier?”
If you’ve been with me for a while, you know I have a love-hate relationship with trade shows. When I was a MarCom director, events were by far the biggest part of my budget. I imagined all the other awesome campaigns I could execute with that money. And then there is the waste. The stuff that ends up in the hotel trash before you get back on the plane and the shipping of huge amounts of equipment all over the world.
On the other hand, if a lot of customers are going to be in one place at the same time... it makes sense to take your offering to them. And human connection is important.
I know it’s important because this episode came out of my trip to ADLM, the event formerly known as AACC.
Stuart Warrington is the CEO of Envoke. They create virtual demos to make your instruments accessible at more events and present a consistent story across the customer journey. More on that below.
Stuart is a filmmaker. He has been created videos for the likes of Thermo and Bio-Rad. Videos used to have a longer useful lifespan. Then his customers wanted new content at a faster pace that was more engaging. Stuart suggested video games.
“No. That’s not it.”
“How about a virtual demo?
“Yes!”
It turns out those are basically the same thing just packaged differently. (They are both virtual experiences that tell a story with the user as the hero.) Stories are the key here. (The crowd cheers.)
People need to tell their own story, right? And sales and training and all that is about that. It's like, how can I communicate the message of what this thing does in the most accurate possible way? And you need to give people freedom to craft that story. And that's why we do things the way we do them.
We make this story block library and it's loads of little clips. And in each clip tells its own individual message. And then your user, your sales rep, your engineer, your trainer can take from that library and craft this story. It might be about a really specific bit of qPCR on the qPCR devices in the platform. And you know your customer only really cares about that. So we give you the opportunity to just pull those bits in and tell a story that is about your product with your product rather than PowerPoint presentations and brochures and videos and things like that. It just takes that to a slightly higher level and it also then starts saving you loads of money on shipping. Right?
The result is that consistent experience for the user from the web to sales to training to maintenance and service. We talked about training people the same way pilots train. On a simulation. They can make mistakes without breaking an expensive piece of kit.
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In addition to the contribution to sustainability without shipping products, the ability to customize a story improves the sales process.
So one of our customers built a storyline for the event from the story block library. So they built something that was like, this is what we want to talk about. This is the story we're telling here. But then what it also did was they put on a QR code, so that you scan the QR code as your customer, and what you do is, you walk away with a different storyline that's specific for you, that's just about the thing that you were talking to him about.
It's all come from the same place, we've just pitched it slightly differently. So it's all come from that story block library, we've just created specific storylines for different environments. And one of those environments is, “I need something a little bit better to take away and show to my boss.” And they take, they scan the QR code, they get their demo, and it's just for them, it's tailored for them, and they walk away and they show their boss, and it's a path to sales, right?
This sounds better than walking away with a PDF or printed literature that the boss has no interest in reading.
What is the path to this magical virtual future? For now, Stuart thinks companies will continue to send at least some products to events. The change comes from the bottom up where they no longer send instruments to smaller shows or remote lo...
What is a Liaison Research Organization?
cc: Life Science Podcast
10/11/23 • 28 min
Dr. Antonio Tito is the Founder and CEO of rEthix in Houston, Texas. rEthix is the world’s first Liaison Research Organization (LRO) facilitating clinical trials in Mexico and Latin America.
A search of clinicaltrials.gov shows that several large pharma companies are currently running trials in Mexico. rEthix is leveraging the ICH (International Council for Harmonisation) guidelines to run these trials in Mexico and use that data to support IND-enabling studies in the US. The ICH sets the guidelines that the FDA and equivalent agencies in other countries follow. COFEPRIS, the Mexico Ministry of Health, assesses the laboratories. rEthix also prepares those laboratories to pass that assessment.
One advantage is cost. According to Dr. Tito, the cost of a trial in Mexico may be 15-25% of the cost for a similar trial in the US.
Another advantage is meeting your goals for testing diverse populations.
While it’s common to run trials in Mexico, it is not common to start them there.
...that is reflected only that only 3. 5 percent of new drugs are generated out of Mexico. And most of that has to do with communication. It's important that we have these type of channels, like the one that you are promoting, Chris, to teach people that it's okay to start your clinical trial in Mexico. You can approach the FDA about it. Be very transparent with the FDA always. But don't let the communication gap, not only the language, but also the culture... the paperwork is very extensive in Mexico.
Don't let that stop you from generating data that you can later use for submitting to your investors and, obtaining more funding.
Antonio also mentioned the opportunity to expand into Latin America with, for example, devices already approved in the US.
For a 510K device that you already have obtained approval for in the U. S., You can easily transfer that into Mexico very simply because you have all the data that you've used, you’ve generated it to demonstrate that it works and is similar to other predicate devices out there in the market.
And you've generated that information for your filing for the FDA. All that information can be then translated by our team and we can pass it on to COFEPRIS and the process is similar to the U. S. as well. But it's... You get the advantage of tapping into sometimes virgin markets where there is absolutely no other alternative to that device or to that diagnostic in Mexico or Latin America.
So you have a winning hand in leveraging tactics to negotiate with, like commercializing agencies in those countries. Whereas in the U. S., you have more competition. It takes longer to get your market traction. So it's a win-win situation.
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rEthix is developing an app...
Let's say you have a new discovery in your research institute, and you've received approval from your tech transfer office to take your technology out into the commercial markets and you have partnered with us to help you get your innovation out. We are, as part of the app, what it's going to be, it looks at all the data that you have, implements AI, And determines what is the best pathway in terms of the study design, the type of protocol that needs to be developed for better for commercialization for your device or your drug or your diagnostics.
Until the app is ready, they are building an incubator in Houston at the medical center to connect life science companies to share ideas and facilitate access to data that will generate traction for IRB studies in Houston.
Your deepest insights are your best branding. I’d love to help you share them. Chat with me about custom content for your life science brand.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cclifescience.substack.com
A Rabbi Walks into a Lab...
cc: Life Science Podcast
04/12/23 • 30 min
Just as scientists are curious about the “how” of the world, Lee Jay Lowenstein was curious about the “why”. That led to his becoming an ordained Orthodox rabbi. He was also a high school teacher and principal before spending some time in a non-profit as a fundraiser. At that point, he must have had some sales skills, but wanted something more.
With no real background in life science other than studying as a pre-med for a short while, he joined a partner and decided to sell laboratory supplies.
I was curious about how that happened. Why life science? And how do you sell supplies to people when you have little idea of what they are doing?
To answer the why part, what stands out to me from our conversation is the respect and admiration he has for the scientists doing research, hoping to benefit humanity. As to how he does it, relationships and curiosity. He never stopped asking questions about how and why a researcher does their work the way they do and how he could help make it easier for them.
I’m more of a marketer than a salesperson (I find sales difficult) but that seems like a pretty good lesson either way. Ask questions. Make the customer’s life easier.
I had been working for another company and just feeling I can do better. I can do better than this. These people deserve better. They deserve to be treated like royalty, and the opportunity presented itself to join hands with a partner and jump in with both feet, and I did.
As I reflect on what it takes to be successful, it seems that there is an advantage to being somewhat ignorant, yet bold. (I have no doubt that discipline and hustle are important as well.) Some call it the curse of knowledge. When we think we know what someone needs (even if we’re right) we miss the opportunity to discover what else they might need that we could help them with.
Lee is never afraid to ask a question and ask again if he needs to. In my experience, when you ask a scientist a question about how or why they do something a particular way, they can’t not answer. Their purpose in life (and how they are paid) is to share what they’ve learned.
...people in the lab are extremely generous with their time and understanding. I learned so much about the business, just sitting and talking to people. Tell me what you do. You know, tell me, why do you do it this way? Why don't you do it that way? And people were more than happy.
I don't think their PIs were happy that they were wasting their time talking to me, but they, you know, they're very generous and they want to wanna share their science.
Today there's fewer and fewer things that people can say that I don't know something about. But honesty and being willing to say, “I don't know”... I've never had a lab manager say, “Well, you're an idiot. Get outta my lab.”
I’ve said it before. Curiosity is a superpower. Combine that with helpfulness and see where it takes you.
Schedule a 15-minute chat with Chris about turning conversations into content for your life science company.
Intro Music stefsax / CC BY 2.5
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Sparking Creativity: Innovation Begins with Observation
cc: Life Science Podcast
10/09/24 • 32 min
With the life science tools industry facing a 7% drop in revenues, innovation and fresh approaches are needed to hold on to your slice of the pie. I spoke with Marina Hop, Managing Director, and Gary Brooks, Creative Director at Viveo Consulting, to explore creativity in life science marketing. Our discussion focused on how creativity can be a powerful tool to not only optimize business operations but also generate new ideas to address these challenges.
In a downturn, companies often retreat into operational efficiency, cutting costs and tightening the reins. However, real growth and differentiation come from creativity—an approach that not only applies to marketing but spans across the entire business strategy, product development, and even internal team dynamics.
Creativity as a Key to Performance
Marina pointed out that while companies are focused on optimizing their operations, there's a limit to how much optimization can drive growth. “The optimization side addresses the bottom line,” she said, “but creativity really addresses the top line.”
I've seen the same pattern—companies cutting budgets and focusing on short-term savings. I once asked my VP of marketing why, instead of cutting back, we didn’t go full throttle to take market share when our competitors were pulling back. My guests agreed on the need to push forward with disciplined creativity, even when times are tough. As Marina pointed out, Bruker—a company that has excelled in this downturn—successfully combines operational excellence with what they call "disciplined entrepreneurialism."
Balancing Operations and Innovation
Gary elaborated on how companies often live in two worlds: the operational world of structure, metrics, and routines, and the innovation world, driven by curiosity and experimentation. He emphasized the importance of maintaining a balance between these two worlds, especially during challenging times. “When companies struggle, they revert back to the operational side because it’s manageable,” he said, but added that without creativity and innovation, growth stalls.
He pointed out, creativity is not just about artistic expression—it's about connecting insights to create something valuable, whether it’s a new marketing channel, product innovation, or strategy.
Creative Thinking in Marketing and Beyond
Around here of course, we’re focused on marketing creativity, and we discussed how companies could be creative not just in their messaging, but in the types of marketing they do. I suggested that creativity in marketing isn’t just about making clever ads, but about exploring new ways to engage with customers—new channels, content types, or interactions. Marina agreed, saying that creativity should permeate any generative business activity, from formulating a strategy to developing a new product.
One key takeaway from this part of the conversation was that creativity shouldn’t be confined to one department. As Gary put it, “It’s not just marketing, it’s communication.” Every interaction a company has, whether with investors, customers, or even internally, is a chance to think creatively about how you present your brand.
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The Power of Observation
Marina introduced a concept that I found particularly interesting—phenomenology, the practice of observing and describing human experiences without immediately analyzing them. This practice helps stimulate creativity by encouraging people to step back, observe, and understand what’s really happening before jumping to conclusions. Viveo might send teams to observe a simple activity, like how people interact in the cafeteria, and then come back and write a narrative about it.
Gary emphasized the importance of observation in creative thinking, noting that many people don't take the time to observe what’s happening around them. “People don’t really observe people doing stuff,” he said. By focusing on observation, companies can gather insights that lead to more informed, creative solutions.
One powerful example Marina shared was when Viveo worked with a client that had developed an automated sample prep system for next-generation sequencing (NGS). The company had expected this product to be a hit because it saved time and effort. But by observing how scientists actually worked in the lab, they realized the product wasn’t solving the problem scientists cared most about—reproducibility. Scientists didn’t mind spending extra time on manual prep because they wanted to ensure the highest quality samples for the expensive s...
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cc: Life Science Podcast currently has 262 episodes available.
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The podcast is about Life Sciences, Podcasts, Technology and Science.
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The episode title 'From Scientist to Consultant by Way of Curiosity' is the most popular.
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The average episode length on cc: Life Science Podcast is 32 minutes.
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Episodes of cc: Life Science Podcast are typically released every 13 days, 23 hours.
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The first episode of cc: Life Science Podcast was released on May 17, 2014.
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