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Machine Learning Pharmaceutical Industry Intellectual Property Protection

Jones Day

Blurring the Line Between the Dry and Wet Lab: Joint Inventorship in AI-Assisted Life Science Inventions

Jones Day on

In 2024, not one but two Nobel Prizes (in Chemistry and Physics) were awarded to researchers for their work in artificial intelligence ("AI"). Particularly noteworthy for the life science community is the Nobel Prize in...more

MoFo Life Sciences

Navigating Inventorship in the Era of AI-Assisted Drug Discovery

MoFo Life Sciences on

This post is part of MoFo’s 2025 Intersection of AI and Life Sciences blog series. In this blog series, we explore how artificial intelligence is revolutionizing research, innovation, and patient care in the life sciences....more

Morgan Lewis - As Prescribed

IP, Licensing, and M&A in the Life Sciences Industry: Trends to Watch in 2025

The life sciences industry has long been at the forefront of innovation, and 2025 promises to continue this trajectory with exciting developments in intellectual property (IP), licensing, and mergers and acquisitions (M&A)....more

Foley & Lardner LLP

AI Drug Development: FDA Releases Draft Guidance

Foley & Lardner LLP on

On January 6, 2025, the U.S. Food and Drug Administration (FDA) released draft guidance titled Considerations for the Use of Artificial Intelligence To Support Regulatory Decision-Making for Drug and Biological Products...more

Foley & Lardner LLP

The Rise of GenAI in Personalized Medicine and Beyond

Foley & Lardner LLP on

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

ArentFox Schiff

ArentFox Schiff Issues the First Global Definitive Legal Guide for Industries Navigating AI

ArentFox Schiff on

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

Foley & Lardner LLP

IP Toolbox Is Crucial In AI-Powered Drug Discovery

Foley & Lardner LLP on

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

American Conference Institute (ACI)

[Event] The National Forum on IP Funding and Tech Strategies for Novel Therapeutic Modalities and Gene Therapies - March 21st -...

Hosted by American Conference Institute (ACI), the National Forum on IP, Funding and Tech Strategies for Novel Therapeutic Modalities and Gene Therapies will highlight leveraging technology, safeguarding IP, and securing...more

Smart & Biggar

2022 Highlights in Canadian Life Sciences IP and Regulatory Law

Smart & Biggar on

Below are highlights from the Rx IP’s team’s 2022 updates (see also our Top 10 Rx IP Update Reads of 2022): Contents: 1. Patent decisions on the merits 2. PMNOC Regulations: Fifth-year anniversary of major amendments,...more

Mintz - Intellectual Property Viewpoints

AI in Biotech and Synthetic Biology: What Can Be Protected? What Should Be Kept Secret?

Machine learning (ML), bioinformatics, artificial intelligence (AI), and other computational tools have become ubiquitous in the biotech and synthetic biology industries because such technology allows for rapid processing of...more

Jones Day

Artificial Intelligence and the Biopharmaceutical Industry: What's Next?

Jones Day on

The Situation: Artificial intelligence ("AI") is emerging as a key driver of innovation in the biopharmaceutical industry, which uses AI in research and development ("R&D") to analyze big data. The Result: AI is already...more

Holland & Knight LLP

A Novel Way to Value IP: A Machine Learning System That Predicts Whether New Developments are Likely to Lead to Clinical...

Holland & Knight LLP on

On October 10, 2019, an NIH team, led by Ian Hutchins, published their exciting new work, "Predicting Translational Progress in Biomedical Research." The team built a machine learning system that detects whether a paper and...more

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