Search results for Drug Development

FDA floats new clinical trial reforms; Takeda punts Denali brain drug

In its budget request, the agency proposed a way to speed up early drug testing and help smaller biotech firms. Elsewhere, two startups raised megarounds.

<![CDATA[Developing New Therapies Across Multiple Regulatory Landscapes]]>

What actually drives speed in complex drug development programs

Learn how early coordination across functions, phases and partners can reduce risk and accelerate drug development.

Organoids as Predictive Translational Models for Drug Development

Retrospective clinical concordance supports earlier, patient-relevant decisions. The post Organoids as Predictive Translational Models for Drug Development appeared first on GEN -...

U.S. Medical Centers Need a New Model for Drug Discovery and Development

China’s faster, more efficient model is forcing U.S. competitors to rethink how they innovate.

Indivior warns of ‘significant impact’ on R&D team after opioid use disorder drug fails phase 2

Indivior ended internal development of an opioid use disorder candidate after a phase 2 trial missed its primary endpoint.

Utilizing AI to Facilitate Combination Product Development

Specific examples of AI/ML usage by pharma companies through the combination product development process

Organoids Drive Human-Relevant Drug Discovery

Organoids, spheroids, and other complex cellular models allow scientists to recreate aspects of tissue structure and function in the laboratory. These systems now play a central ro...

FDA Makes Moves to Modernize Drug Development, Clinical Trial Paradigm

On April 28, 2026, the Food and Drug Administration (FDA) unveiled two major announcements as part of its initiative to “advance the implementation of real-time clinical trials.” I...

FDA hold puts Aardvark Prader-Willi drug in limbo

The company plans to unblind the late-stage study that was halted due to safety concerns, which could lead to an overhaul of its entire development program.

<![CDATA[FDA’s Shift Signals a New Era for Data-Driven Drug Development]]>

AI screening in brain organoids uncovers two drug candidates for Leigh syndrome

The need for medical treatments for rare diseases such as Leigh syndrome is high. However, low patient numbers make research into treatments difficult. Together with a team from th...

Critical Path Institute Unveils New Coalition to Propel Human-Relevant Drug Development Tools

TUCSON, Ariz., and AMSTERDAM — May 19, 2026 — In a transformative step for drug development and regulatory science, the Critical Path Institute (C-Path) has officially launched the...

FDA Moves to Real-Time Clinical Trial Patient Monitoring, Faster Drug Review

WEDNESDAY, April 29, 2026 — The U.S. Food and Drug Administration (FDA) is moving to speed drug development and review by launching real-time clinical trials. The move could soon...

Accelerating Organoid Adoption Set to Transform Cancer Drugs

Today’s organoid companies underscore proof points in the ability to model complex human biology with high fidelity. At the same time, the government’s evolving regulatory stance i...

<![CDATA[Model Examples]]>

Rethinking dermatology trial design for late-stage success

A smarter approach to dermatology trials—built for durability and real-world impact.

Medikamente: Effizientere Entwicklung mit KI und Petrischale

Künstliche Intelligenz und Mini-Organe aus der Petrischale helfen in der Pharma-Branche im Wettlauf gegen die Zeit – sie optimieren den Entwicklungsprozess.

The Changing Landscape of New Approach Methodologies

Now more than ever, NAMs need to be considered a core aspect of modern drug development – and scientists, decision-makers, regulators and governments must keep pace with this evolv...

Transforming neurodegenerative disease treatment

Discover how Cognition Therapeutics is redefining hope for Alzheimer’s and Dementia with Lewy bodies [JG1] with innovative, accessible therapies.

MRD as a Decision Engine: Rethinking Oncology Trial Design from Early Phase to Registration

As MRD shifts from prognostic marker to intervention trigger, sponsors must rethink trial design, endpoints and decision-making.

Faster Process Development via “Transfer Learning”

An emerging machine learning based technique called transfer learning has the potential to help drug companies reuse historical data to create predictive models that can help accel...

Old Drugs, New Tricks: FDA’s Drug Repurposing Initiative

By Charles D. Snow & Kalie E. Richardson —

<![CDATA[Maximizing Drug Impact]]>