Podcast — The Growth Rocketship: How BridgeBio’s Hub and Spoke Portfolio Strategy Set the Market for the Future of Biotech — Then, Now, and What’s Next?
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 218: Artificial Intelligence in Drug Development with John Van Hoy of PPD & Thermo Fisher
AI and Pharmacovigilance Under the FDA's New Emerging Drug Safety Technology Program – The Good Bot Podcast
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 217: Japanese Investment in North Carolina’s Life Sciences Industry with David Robinson of Maynard Nexsen
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 216: Patient Advocacy and Healthcare Policy Change with Melissa Horn of the Arthritis Foundation
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 215: Bioactives for Human Health with Jan-Willem van Klinken of Brightseed
Harnessing Generative AI: Innovations and Best Practices — The Good Bot Podcast
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 214: Pharma Manufacturing in North Carolina with Ed Hernandez of Eli Lilly
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 213: AI Transformations in Life Sciences and Beyond with Igor Jablokov of Pyron
The Evolving Landscape of Behavioral Health Transactions: Insights from Industry Professionals
Advancements of Artificial Intelligence in Health Care – One Year After White House Executive Order – Diagnosing Health Care
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 212: Fujifilm’s Investment in North Carolina with Christine Vannais and Laurie Braxton of Fujifilm
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 211: Cybersecurity and Privacy Risks for the Healthcare Industry with Brandon Robinson of Maynard Nexsen
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 210: Impacts of the Chevron Doctrine Ruling with Mark Moore and Michael Parente of Maynard Nexsen
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 209: North Carolina’s Life Sciences Industry with Laura Gunter of NCLifeSci
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 208: Extended Reality Technology and the ThinkReality Headset with Mattney Beck of Lenovo
Preventative Medicine: Health Care AI Privacy and Cybersecurity – Part 2 — The Good Bot Podcast
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 207: Long COVID Research & Treatments with Dr. Kashyap Patel of Carolina Blood & Cancer Care Associates
The CMS Interoperability and Prior Authorization Rules
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 206: Supporting Patient Care with Darra Coleman of Prisma Health
While generative artificial intelligence ("GenAI") has the potential to fundamentally change health care, it presents unique risks and complexities that challenge the U.S. Food and Drug Administration's ("FDA" or "Agency")...more
As a streamlined method for obtaining U.S. Food and Drug Administration ("FDA") authorization of post-market functionality, FDA issued final guidance recommending the information to include in a Predetermined Change Control...more
The scientific benefits and legal risks of AI-driven drug discovery are consequential. But recent IP law decisions allude to a general concept that IP rights will not be awarded if AI completely or significantly replaces...more
Last week, the U.S. Food and Drug Administration (FDA) finalized guidance on the types of information that should be included in a Predetermined Change Control Plan (PCCP) as part of a marketing submission for an artificial...more
For decades, FDA’s Center for Devices and Radiological Health (CDRH) has been recognizing standards that can be referenced in premarket medical device submissions....more
Last week, U.S. Food and Drug Administration (FDA) Commissioner Robert Califf, M.D., and other senior FDA officials published a “Special Communication” in JAMA titled, “FDA Perspective on the Regulation of Artificial...more
I may be jumping the gun here, but I’m anxious to understand how the new flurry of AI medical devices is performing in the marketplace, or more specifically, whether the devices are failing to perform in a way that...more
GenAI, or Generative AI, has seen a surge in patenting activity with China leading the way in filing patent applications for this technology. The landscape analysis by WIPO reveals Tencent, Ping An Insurance Group, and Baidu...more
Many life science companies are using AI/ML to identify new disease targets and new therapeutics, predict the efficacy and toxicity of potential clinical therapeutic candidates, design clinical trials and dosing or treatment...more
The food, drug and medical device industries comprise some of the most closely regulated sectors in the United States. The US Food & Drug Administration (FDA) actively exercises authority by constantly changing legislation...more
AI is shaving years off the drug-discovery process. But it’s not just leaving other research modalities in the dust—the law itself is struggling to keep up, especially when it comes to patenting AI-aided drug discovery....more
Most people have seen the growth in artificial intelligence/ machine learning (AI/ML)-based medical devices being cleared by FDA. ...more
n March 15, the U.S. Food and Drug Administration (FDA) published a paper titled “Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together.” This paper describes the FDA’s strategy for...more
Both the EU and Germany are taking significant steps to accelerate digitalization in the health sector and facilitate the exchange and use of health data for research and innovation purposes. They aim to improve...more
Artificial intelligence or AI isn’t going anywhere, and the FDA is the latest agency to recognize its potential to revolutionize healthcare by advancing medical product development, improving patient care, and expanding the...more
Artificial Intelligence (AI) has emerged as a major player in the realm of health care, promising to completely transform its delivery. With AI’s remarkable ability to analyze data, learn, solve problems, and make decisions,...more
The Fenwick life sciences team recently returned from the 2024 JP Morgan Healthcare conference. As we reflect back on the week, there were several key themes and trends that we expect will continue to resonate and evolve over...more
At the first day of the J.P. Morgan Healthcare Conference, “[T]he answer to the ultimate question of life, the universe and everything is 42.” Recognize that famous line? No, it’s not something from ChatGPT, it’s Douglas...more
In this Q3/23 issue of our Life Science and Health Care Law Update, our teams highlight key trends across life sciences regulatory, corporate, compliance, competition, and privacy throughout the EU. We highlight the following...more
Recorded at NC Life Sciences Organization’s Annual Meeting, hosts Matthew and Heather welcome David Ellison, the Chief Data Scientist for Lenovo’s Infrastructure Solutions Group. David discusses exciting developments in...more
For good reasons, including product safety, quality assurance, development of delivery procedures and instructions, it has been a common practice for medical device companies and innovators to consult with physicians during...more
Artificial intelligence promises to transform the way we live and work and its impact will undoubtedly stretch to every business sector across the globe. This next generation of technology brings exciting possibilities and...more
Navigating the complex landscape of drug discovery requires innovative strategies and interdisciplinary collaborations spanning biotechnology, pharmacology, medicine and engineering. As the cost of developing new drugs...more
This post explores how bias can creep into word embeddings like word2vec, and I thought it might make it more fun (for me, at least) if I analyze a model trained on what you, my readers (all three of you), might have written....more
The U.S. Food and Drug Administration (FDA) recently issued two discussion papers on the use of Artificial Intelligence (AI) and Machine Learning (ML) in the development of drug and biologics, and in the manufacturing of...more