Silver Spring, MD, USA - June 25, 2022: The U.S. Department of Health and Human Services (HHS), U.S. Public Health Service (USPHS) and FDA logos are seen at the FDA headquarters, the White Oak Campus.

FDA Solicits Feedback on the Use of AI and Machine Learning in Drug Development

By Matthew Chun

The U.S. Food and Drug Administration (FDA), in fulfilling its task of ensuring that drugs are safe and effective, has recently turned its attention to the growing use of artificial intelligence (AI) and machine learning (ML) in drug development. On May 10, FDA published a discussion paper on this topic and requested feedback “to enhance mutual learning and to establish a dialogue with FDA stakeholders” and to “help inform the regulatory landscape in this area.” In this blog post, I will summarize the main themes of the discussion paper, highlighting areas where FDA seems particularly concerned, and detailing how interested parties can engage with the agency on these issues.

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AI-generated image of robot doctor with surgical mask on.

Who’s Liable for Bad Medical Advice in the Age of ChatGPT?

By Matthew Chun

By now, everyone’s heard of ChatGPT — an artificial intelligence (AI) system by OpenAI that has captivated the world with its ability to process and generate humanlike text in various domains. In the field of medicine, ChatGPT already has been reported to ace the U.S. medical licensing exam, diagnose illnesses, and even outshine human doctors on measures of perceived empathy, raising many questions about how AI will reshape health care as we know it.

But what happens when AI gets things wrong? What are the risks of using generative AI systems like ChatGPT in medical practice, and who is ultimately held responsible for patient harm? This blog post will examine the liability risks for health care providers and AI providers alike as ChatGPT and similar AI models increasingly are used for medical applications.

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Portrait of a patient lying on CT or MRI, the bed moves inside the machine, scanning her body and brain.

Should Brain Scans Be Used As Evidence in Trademark Litigation?

By Matthew Chun

In a recent paper in Science Advances, researchers have proposed using neuroscientific data from brain scans to “improv[e] the state of evidence-based legal decision-making” in trademark infringement cases. But can — and more importantly, should — such evidence be used? In this blog post, I will review the federal legal standards for trademark infringement, describe the researchers’ proposed use of neuroscientific evidence in trademark litigation, and assess the benefits and limitations of adopting such an approach.

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Modern Medical Research Laboratory with Computer Showing Virus Genome Research Software. Scientific Laboratory Biotechnology Development Center Full of High-Tech Equipment.

How Artificial Intelligence is Revolutionizing Drug Discovery

By Matthew Chun

In recent months, generative artificial intelligence (AI) has taken the world by storm. AI systems like ChatGPT and Stable Diffusion have captured the imagination of the masses with their impressive and sometimes controversial ability to generate human-like text and artwork. However, it may come as a surprise to some that — in addition to writing Twitter threads and dating app messages — AI is also well underway in revolutionizing the discovery of life-saving drugs.

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3D Rendering Crispr DNA Editing.

Responding to the Comeback of He Jiankui, ‘The CRISPR Baby Scientist’: Lessons from Criminal Justice Theory

By Matthew Chun

He Jiankui — a high-profile Chinese scientist convicted for conducting unethical gene-editing experiments — has been released from prison and is currently fundraising for his new gene therapy endeavor. As the scientific community grapples with how to respond, theories of criminal justice can provide important perspectives to better inform the conversation surrounding Dr. He’s return to research.

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U.S. Patent and Trademark Office building

Visualizing the Growing Intersection of Life Sciences and Computing Patents in the US from 1976-2021

By Matthew Chun

With its leadership in drug development, biotechnology, and computing technologies, the United States touts itself as being “the most innovative economy in the world.”

But when did the U.S. rise to its position as a global leader in these areas? Which regions of the country have led the charge? And what is the next frontier of American innovation?

To begin exploring these questions, I analyzed 45 years of publicly available patent data to map the growth of U.S. innovation in the life sciences and computing fields from 1976-2021. I also mapped the recent growth of patented “hybrid” inventions, which are closing the gap between these historically disparate fields. In particular, the hybrid inventions explored in this project represent interdisciplinary advances in areas including bioinformatics, cheminformatics, artificial intelligence, and quantum computing.

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FDA approved concept. Rubber stamp with FDA and pills on craft paper. 3d illustration.

Book Review: ‘Drugs and the FDA: Safety, Efficacy, and the Public’s Trust’ by Mikkael A. Sekeres

By Matthew Chun

In Drugs and the FDA: Safety, Efficacy, and the Public’s Trust, oncologist Mikkael A. Sekeres tells a captivating story of how the U.S. Food and Drug Administration became the agency it is today and how it makes some of its toughest decisions regarding the regulation of potent drugs.

Sekeres centers his narrative on the controversial 2011 Avastin hearings, in which the FDA reconsidered and ultimately withdrew the breast cancer indication for Genentech’s Avastin drug. Having served on the Oncologic Drugs Advisory Committee (ODAC) tasked with making a recommendation to the FDA based on the hearings and clinical data, Sekeres provides a relatable personal account of the emotion-filled proceedings and the agonizing decision to withdraw approval of a beloved treatment option that never lived up to its promising initial results.

As he recounts his experience as an ODAC member, Sekeres skillfully weaves in historical references to various regulatory failures, including poisoned vaccines, opioid deaths, thalidomide-induced birth defects, and the woefully inadequate response to HIV/AIDS, which shaped the role of the FDA since its inception in 1930. Upon describing how the FDA developed its modern system of checks and balances to ensure drug safety, efficacy, and accessibility, Sekeres then illustrates how the Avastin hearings put all of these processes and values to the test. Among other things, Drugs and the FDA encourages readers to grapple with several important themes that pervade the agency’s decision-making process, including (1) the tension between drug safety and accessibility, (2) the relative weight of expert opinion versus patient autonomy, and (3) the role of democracy and transparency in drug regulation.

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Blue biohazard sign in front of columns of binary code.

The International Weaponization of Health Data

By Matthew Chun

International collaboration through the sharing of health data is crucial for advancing human health. But it also comes with risks — risks that countries around the world seem increasingly unwilling to take.

On the one hand, the international sharing of health-related data sets has paved the way for important advances such as mapping the human genome, tracking global health outcomes, and fighting the rise of multidrug-resistant superbugs. On the other hand, it can pose serious risks for a nation’s citizens, including re-identification, exploitation of genetic vulnerabilities by foreign parties, and unauthorized data usage. As countries aim to strike a difficult balance between furthering research and protecting national interests, recent trends indicate a shift toward tighter controls that could chill international collaborations.

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Gamblers make bets at the roulette table in a casino.

We All Stand to Benefit from Biden’s $2 Billion Bet on the Bioeconomy

By Matthew Chun

Business is bustling for biotechnology and biomanufacturing. On September 12, 2022, President Biden signed an executive order, launching a “whole-of-government approach to advance biotechnology and biomanufacturing.” And two days later, he backed it up with a national summit and a $2 billion spending plan.

But who stands to benefit from this large commitment of federal money? We all do.

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