TomorrowScale Podcast

At the center of every clinical trial is a group of patients; each with a medical condition that we seek to understand more about through interacting with those patients directly. Startups like Sanguine Biosciences are part of a clinical services innovation layer, connecting population health, clinical research, and healthcare delivery in new ways using new technologies. On this episode, our guest is Brian Neman, CEO of Sanguine Biosciences, and adjunct instructor at the University of Southern California's Price School of Public Policy. We discuss how recent technological advancements enable new way to make clinical research more patient-centric, better efficiency, and—critically in the time of COVID-19, ensure continuity of care and the advancement of medical research. This is the TomorrowScale podcast, hosted by Justin Briggs

Sanguine Biosciences: https://sanguinebio.com

https://TomorrowScale.com

Disclosures: The host and guest have no conflicts to disclose. Mr. Briggs and companies he is affiliated with are not current or previous clients of Sanguine Biosciences. The TomorrowScale Podcast was created to showcase scientists and entrepreneurs who are building science-based businesses, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

On this episode we'll meet biophysicist, machine learning researcher, and CEO of UnlearnAI Dr. Charles Fisher. He and the team at Unlearn have the goal to build the entire biomedical machine learning stack, from scratch. Their strategy is that with a fit-for-purpose biomedical machine learning infrastructure and novel deep learning techniques, along with enough data about patients, that they can generate synthetic versions of actual patients, entirely in the data, with the goal to make them “computationally indistinguishable” from real patients. A “digital twin” that could help to better understand the impact of medicines before they’re used in a patient, or in clinical trials to be used alongside real patients in what they call “intelligent control arms.” Unlearn believes that we can obtain the same rigorous, statistically-powered clinical evidence but with fewer subjects. A fascinating approach to the problem of how to make clinical trials more efficient, and understand more about what may be possible with more and better patient data. This is the Tomorrow Scale podcast, hosted by Justin Briggs (@briggsly).

Unlearn AI: https://unlearn.health

Charles Fisher CV, Google Scholar: https://scholar.google.com/citations?user=MQlhMlwAAAAJ&hl=en

Boltzmann Encoded Adversarial Machines (BEAM) paper: https://arxiv.org/pdf/1804.08682.pdf

“The FDA needs to set standards for using artificial intelligence in drug development” by Dr. Charles Fisher in StatNews, 11/7/2019: https://www.statnews.com/2019/11/07/artificial-intelligence-drug-development-fda-standards-needed/

Dr. Fisher’s presentation at a recent FDA Meeting (begins on page 175; linked here since we didn't end up discussing each point after all): https://www.fda.gov/media/136577/download#page=175

Photocredit: Dr. Fisher’s headshot, augmented based on the blue binary background image, using a neural style transfer model found here: https://git.io/Jf4a6

http://TomorrowScale.com

The TomorrowScale Podcast was created to showcase scientists and entrepreneurs who are building science-based businesses, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

On this show we talk a lot about the opportunity and the promise of innovation. It is incredibly difficult, however, to study the actual impact of those new technologies. In healthcare, we do have some chance to measure the impact of new medicines. But! What data do we use? What metrics are used? and why are they used? Today’s guest is Dr. Frank Lichtenberg, the Courtney C. Brown Professor of Business at the Graduate School of Business at Columbia University. Dr. Lichtenberg has taught at Columbia, Harvard, and Penn, worked for the Department of Justice, the Congressional Budget Office, and the Census Bureau, and has conducted several large studies on the impact of pharmaceutical innovation across diseases and geographies over the last 25 years. Right now, billions are sheltering in place from a pathogen that we must fight with drugs and vaccines. The purpose of this conversation is to gain a little bit better understanding of an important topic, relayed in the voice of a leading researcher, so that we may, in the future, invent and develop safer, better technologies to fight disease. To do that, we must measure medicine’s impact not only on the patient, but also the patient population, the healthcare system, and the entire economy. This is the TomorrowScale podcast, hosted by Justin Briggs.

Dr. Lichtenberg’s Columbia Page: https://www8.gsb.columbia.edu/cbs-directory/detail/frl1

Dr. Lichtenberg’s Publications via Google Scholar: https://scholar.google.com/citations?hl=en&user=t3NSVwoAAAAJ&view_op=list_works&sortby=pubdate

http://TomorrowScale.com

The TomorrowScale Podcast was created to showcase scientists and entrepreneurs who are building science-based businesses, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

On this episode, we’ll speak with one of the principal researchers on the Wolfram Physics Project, Jonathan Gorard. We'll discuss how they plan to actually implement their “fundamental theory of the universe” and build these computational universes.

Jonathan Gorard is a theoretical mathematician, researcher at the University of Cambridge, and consultant to Wolfram Research. He is ostensibly the scientist tasked with doing the maths to demonstrate these concepts to the scientific community and the public. Actually proving these ideas out in the open, over the din of more than a few detractors, may be one of the most difficult parts of this highly complex project.

Along with a call for scientists everywhere to contribute and critique the project in an open-source manner, the team published nearly a thousand pages and over 500 hours of video. All since Wolfram’s announcement on April 14th titled, “We may have found a fundamental theory of the universe… and it’s beautiful.” The Wolfram Physics team, consisting of Stephen Wolfram, Jonathan Gorard, and theoretical physicist and competitive programmer Max Piskanov, are literally live-streaming the entire thing. Scientific discovery, open collaboration, and peer review happening in real-time, and anyone can get involved. Now that is beautiful. This is the TomorrowScale podcast, hosted by Justin Briggs.

Wolfram Physics Project Website: https://www.wolframphysics.org/

Announcement by Stephen Wolfram: https://writings.stephenwolfram.com/2020/04/finally-we-may-have-a-path-to-the-fundamental-theory-of-physics-and-its-beautiful/

Registry of Notable Universes: https://www.wolframphysics.org/universes/

Jonathan Gorard, Cambridge University Center for Scientific Computing: https://www.csc.cam.ac.uk/academic/MPhilSciComp/directory/gorard

http://TomorrowScale.com

The TomorrowScale Podcast was created to showcase scientists and entrepreneurs who are building science-based businesses, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

Dr. Chang Liu, assistant professor of biomedical engineering at the University of California, Irvine, has transformed traditional yeast culture methods into an engine to accelerate evolution in order to understand the drivers of selection and gain the ability view fitness not as a crossroads, but a landscape--a mutational topology that he and his collaborators are able to navigate. ACE, or automated continuous evolution, combines the Liu Lab’s orthogonal replication system, OrthoRep, with the robotic culturing system eVOVLR, developed by the Khalil Lab at Boston University, to automate evolution. Together, they can synthesize new biology; build novel enzymes and proteins to serve multiple industries; and, even help us fight not just today’s pandemic but tomorrow’s pandemics as well. A story of discovery in the fast-paced world of synthetic biology. This is the TomorrowScale podcast, hosted by Justin Briggs.

ACE pre-print on bioRxiv: https://doi.org/10.1101/2020.02.21.960328

Liu Lab at UC Irvine: https://liulab.com/

Khalil Lab at BU: https://www.bu.edu/khalillab/

http://tomorrowscale.com

The TomorrowScale Podcast was created to showcase scientists and entrepreneurs who are building science-based businesses, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

In the beginning, there was chemistry. Well, not exactly. From those primordial reaction conditions … life emerged. But how? What separates chemistry from biology? How do we study the origin of life? What can we do with a Chemputer?

In this episode, we’ll head to the lab of Dr. Lee Cronin, Regius Professor of Chemistry at the University of Glasgow, Scotland, and perhaps one of the most provocative chemists in the field today. We'll discuss his lab's view into the origin of life, the balance between theory and reality, and how the Chemputer could be an important component to the future of chemistry. This is the TomorrowScale podcast, hosted by Justin Briggs.

The Cronin Lab: https://croninlab.com

The TomorrowScale Podcast was created by Justin Briggs (https://twitter.com/briggsly) to showcase scientists and entrepreneurs who are building science-based businesses, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

What does the future of scientific computing look like? Labs all over the world are racing to build chips based on our brains. But what can it do? And what will it be used for? On this episode, we’ll meet a company that built an actual analog neural network in order to solve this problem. Gordon Wilson, CEO of Rain Neuromorphics. This is the TomorrowScale podcast, hosted by Justin Briggs. 

Rain Neuromorphics (https://rain.ai) 

The TomorrowScale Podcast was created by Justin Briggs (https://twitter.com/briggsly) to showcase scientists and entrepreneurs who are building science-based businesses, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

On today’s episode, we’ll sit down with DistributedBio co-founder and CEO Jacob Glanville, and Centivax program lead and director of contract research Sarah Ives. We’ll hear more about the company's founding story, get perspective on bootstrapping a biotech company, and learn more about their internal and client development programs that cover everything from vaccines, antibodies, and chimeric antigen receptor (CAR) T cell therapies, and which target diseases as varied as influenza, HIV, cancer, and even the SARS-CoV2 Coronavirus. This is the TomorrowScale podcast, hosted by Justin Briggs.

DistributedBio (https://distributedbio.com)

Follow us on Twitter (https://twitter.com/tomorrowscale)

The TomorrowScale Podcast was created by Justin Briggs to showcase scientists and entrepreneurs who are building the future, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thanks to our guests for sharing their time and knowledge with us. Thank you for listening. Please science responsibly.

Drugs are getting smarter. A new wave of companies, including those founded by our guest, Matthew Scholz of Oisin Biotechnologies and OncoSenX, ride on recent advances in drug and gene delivery that are enabling what could be considered intelligent therapeutics. That is, they are able to both identify target cells (not visibly, but genetically) and then selectively destroy those cancerous or senescent cells. Novel medicines that include a diagnostic targeting system right within them, to potentially treat everything from cancer to aging. This is the TomorrowScale podcast.

Oisin Biotechnologies: https://www.oisinbio.com/

OncoSenX: https://www.oncosenx.com/

Follow Us on Twitter: https://twitter.com/TomorrowScale

The TomorrowScale Podcast was created by Justin Briggs to showcase scientists and entrepreneurs who are building the future, and to hear their stories from the benches and in the trenches of research & development. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thank you to our guests for sharing their time and knowledge with us. Thanks for listening. Please science responsibly.

The ability to visualize disease is vital to many parts of patient care. On this episode, we’ll meet AIQ Solutions, a company that is taking a long-term view of a patient’s response to cancer treatment using computer vision and artificial intelligence. In doing so, they might change not just how we visualize cancer, but how we treat cancer.

Our guest is a former GE executive turned entrepreneur Eric Horler, the CEO of AIQ Solutions, based in Madison, Wisconsin. This is the TomorrowScale podcast, hosted by Justin Briggs.

AIQ Solutions: https://www.aiq-solutions.com/

Follow Us on Twitter: https://twitter.com/TomorrowScale

The TomorrowScale Podcast was created by Justin Briggs to showcase scientists and entrepreneurs who are building the future, and hear stories about how to build the future. The views expressed by the host and guests are their own, and the content of this show should not be considered legal, tax, or investing advice. Thank you to our guests for sharing their time and knowledge with us. Thanks for listening. Please science responsibly.