Custom Manufacturing Industry podcast is an entrepreneurship and motivational podcast on all platforms, hosted by Aaron Clippinger. Being CEO of multiple companies including the signage industry and the software industry, Aaron has over 20 years of consulting and business management. His software has grown internationally and with over a billion dollars annually going through the software. Using his Accounting degree, Aaron will be talking about his organizational ways to get things done. Hi ...
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Biologics and active learning in ML with Peyton Greenside (BigHat Biosciences)
Manage episode 277770867 series 2769784
Content provided by Anika Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anika Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Can we create new biological therapies with machine-guided design? Today I chat with Peyton Greenside, Co-Founder and CSO of BigHat Biosciences, on using machine learning to design therapeutic proteins, the advantages of using "smart" data over "big" data, and the importance of interpretability.
Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
ShareManage episode 277770867 series 2769784
Content provided by Anika Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anika Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Can we create new biological therapies with machine-guided design? Today I chat with Peyton Greenside, Co-Founder and CSO of BigHat Biosciences, on using machine learning to design therapeutic proteins, the advantages of using "smart" data over "big" data, and the importance of interpretability.
Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
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Thank you for joining for Season 1 of the Data Pulse podcast. I hope you found the conversations over the past 6 months to be both enlightening and enjoyable. With chaos dominating the world this year, the podcast for me has been a grounding force, tapping into the power that lies in using data science to effectively tackle some of the grandest challenges in biomedicine. I have thoroughly enjoyed diving into the minds of peers and mentors who I deeply admire, building a resource for a shared vocabulary—through both the conversations and the podcast glossary, and growing a community of folks passionate about improving medicine through the lens of data. If you have a moment, check out the podcast website (linktr.ee/thedatapulse) to provide feedback on Season 1—I’d like to make it as relevant and useful for *you*! The link will also include an application to join the Data Pulse team as publicity head, audio lead, or script lead. Definitely apply if you are interested! Finally, if you enjoyed this podcast, I’d deeply appreciate a rating on whichever platform you listen. From the bottom of my heart, thank you for being a part of the Data Pulse community! --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Design for inference and massively parallel single cell -omics with Aviv Regev (Broad Institute -> Genentech) 48:46
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Play Later Play Later Lists Like LikedFrom single cells to international consortia and from striving despite fear to creating a "vector field" to inspire teams working in sync, Dr. Aviv Regev shares countless insights into how she has merged the worlds of computation and biomedicine, first at the Broad Institute and now at Genentech. --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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1 Diagnosing the undiagnosed and combining international health records with Isaac Kohane 31:02
31:02 Play Later Play Later Lists Like Liked31:02
Play Later Play Later Lists Like LikedRare diseases present a unique challenge in both diagnosis and treatment, given the small number of cases, often leaving them undiagnosed. I talk with Professor Isaac Kohane of Harvard Medical School about the Undiagnosed Diseases Network's efforts to catalogue and diagnose rare diseases, focusing on the role that data science--specifically, merging genotype and phenotype information, can play in bringing about hope to the families of affected individuals. We also discuss efforts to aggregate EHR data from hospitals across the world in order to better predict COVID-related symptoms and outcomes, faster than most healthcare systems have been able to. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Digital diagnostics + therapies for autism with Dennis Wall (Stanford) 28:25
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Play Later Play Later Lists Like LikedAutism Spectrum Disorder remains a pressing yet elusive spectrum of conditions. In my conversation with Dennis Wall of Stanford University, we discuss the promise of technology- and augmented reality-based systems in both diagnosis and behavioral treatment for affected individuals. He shares the importance of understanding the context in which data is collected, as well as the ability for simple algorithms to yield actionable insights in the clinic. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Single cell-based drug discovery with Greg Ryslik (Celsius Therapeutics) 23:25
23:25 Play Later Play Later Lists Like Liked23:25
Play Later Play Later Lists Like LikedIn my conversation with Greg Ryslik, previously Chief Data Officer and now Special Adviser to Celsius Therapeutics, we talk about single cell sequencing technologies and the nuance they enable with respect to identifying and targeting the cell populations that are responsible for driving diseases, as well as the machine learning frameworks he employs when approaching problems with large-scale datasets. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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1 Clinical trials and longitudinal studies with Manisha Desai (Stanford University) 32:11
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Play Later Play Later Lists Like LikedWorking with humans poses significant challenges to acquiring robust and complete data, but also remarkable opportunity, as I learn in today's episode with Professor Manish Desai of Stanford University. We discuss inferring causality from longitudinal data, clinical trial and observational study considerations, and the intersection of statistics and medicine at large. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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1 Biomedical data integration with Zainab Doctor (nference) 28:15
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Play Later Play Later Lists Like LikedNatural language processing has long yielded exciting predictions from word-based knowledge. Through my conversation with Zainab Doctor, Translational Science Head of nference, I chat about how we can now use text as a lens into the biomedical world, as well as the ability to integrate diverse data types to synthesize knowledge of all scales and yield clinically actionable insights. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Biologics and active learning in ML with Peyton Greenside (BigHat Biosciences) 25:34
25:34 Play Later Play Later Lists Like Liked25:34
Play Later Play Later Lists Like LikedCan we create new biological therapies with machine-guided design? Today I chat with Peyton Greenside, Co-Founder and CSO of BigHat Biosciences, on using machine learning to design therapeutic proteins, the advantages of using "smart" data over "big" data, and the importance of interpretability. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Protective mutations with Vyas Ramanan (Third Rock Ventures, Maze Therapeutics) 28:16
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Play Later Play Later Lists Like LikedToday I discuss with Vyas Ramanan, of Third Rock Ventures and Maze Therapeutics, the evolution of the field's understanding of genetic modifiers and the role they play in disease, how drug discovery works when attempting to recapitulate protective effects of certain mutations, and how the convergence of certain advances in statistics and genomic sequencing and perturbation tools enable pressure testing of hypotheses at an unprecedented scale. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Systematizing drug development with Ankit Gupta (Reverie Labs) 31:31
31:31 Play Later Play Later Lists Like Liked31:31
Play Later Play Later Lists Like LikedHow should one think about building "the new wave" of biopharma teams? Turns out we can rely on principles from existing domains. In this episode, I talk with Ankit Gupta, CTO and Co-Founder of Reverie Labs, on systematization as a foundation, and on optimizing properties of a drug using machine learning and software-oriented frameworks. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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1 Prescription digital therapeutics with Corey McCann (Pear Therapeutics) 26:48
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Play Later Play Later Lists Like LikedPrescription digital therapeutics are emerging as an entirely new therapeutic modality. Corey McCann, President and CEO of Pear Therapeutics, chats with me about what they are, how they evolve as more data are collected, and the subsequent changes that are made to the treatment paradigms of neurological and psychological disorders. We also discuss what it took to get FDA approval for "software as a therapy," what skills are essential to succeeding in the space, and the growing presence of remote and asynchronous care. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Using social media to infer health with computational epidemiologist Elaine Nsoesie (Boston University) 28:44
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Play Later Play Later Lists Like LikedWhat does an individual's digital presence reveal about imminent infectious disease outbreaks, obesity prevalence, and the spread of medical misinformation? How can Google Maps images reveal socioeconomic factors that contribute to disparities in health? When and how does community context matter? Elaine Nsoesie, Professor at Boston University School of Public Health, shares how she has led data-driven efforts to address these questions in the context of various diseases and communities around the world. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Molecular diagnostics and classifiers with Ava Soleimany (Harvard/MIT) 29:11
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Play Later Play Later Lists Like LikedMolecular diagnostics are emerging as a precise way to detect diseases early on in prognosis. In today's episode, I chat with Harvard+MIT PhD Student Ava Soleimany on the role of data science in activity-based molecular diagnostics for early cancer detection and how the confluence of classification techniques with feature representation of cancer biomarkers can enable non-invasive, early detection. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Linking the environment and public health through data with Francesca Dominici (Harvard) 30:54
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Play Later Play Later Lists Like LikedClimate change has been noted as perhaps the greatest public health crisis of our times--Professor Francesca Dominici of Harvard University agrees. We discuss her data-driven efforts to demonstrate the negative health impacts from air pollutants, particularly for resource-poor communities, and how the current pandemic has further elucidated these disparities. She shares the steps necessary to move from academic science to changing policy, as well as her work in bridging the gender representation gap in STEM. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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The Data Pulse
1 Partially automated pathology diagnoses with Andy Beck (PathAI) 27:58
27:58 Play Later Play Later Lists Like Liked27:58
Play Later Play Later Lists Like LikedDeep learning has shown tremendous advances in making predictions from imaging data. Today I talk with Andy Beck, Co-Founder and CEO of PathAI, about deep learning specifically applied to pathology to both diagnose and lead to treatment options for patients, as well as the global implications that deploying such a technology could have. Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary --- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support…
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