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The AI model that is changing clinical trial design

Drug Target Review

Clinical trials are expensive, slow and often limited by outdated design constraints. They offer patient-specific outcome predictions, generated using machine learning models trained on real historical clinical data. Digital twins offer a way forward. Unlearn is one of the few companies applying this approach at scale.

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The Growing Trend of Patient-Led Clinical Research in Rare Disease

Conversations in Drug Development Trends

By: Juliane Mills, Senior Director, Therapeutic Strategy Lead, Rare Disease The rise of patient-led clinical research, particularly in rare disease, represents a significant shift in the clinical trial landscape. Why Is There an Increase in Patient-Led Rare Disease Research?

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Key Trends Drug Developers Need to Know to Succeed

PPD

As the pharmaceutical industry continues to evolve, drug developers encounter new challenges and opportunities in their pursuit of innovation. From adapting to complex new trial designs to embracing cutting-edge technologies, staying ahead requires a deep understanding of the current landscape.

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Redefining Acceleration of the Drug Development Journey

PPD

By accelerating timelines, anticipating challenges and alleviating bottlenecks, pharmaceutical companies and combined CDMO and CRO partners together can help ensure those potential treatments reach the patients who need them as efficiently as possible.

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Future-proofing drug development with GenAI

Drug Target Review

It is becoming increasingly evident that generative artificial intelligence (GenAI) is a resourceful tool for helping pharmaceutical companies reduce manual tasks required by clinical trials. Because LLMs are trained on extensive, internet-scale datasets, they can learn to identify contexts linking words and language.

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Oncology advances through the lens of women in STEM

Drug Target Review

In this interview, she discusses her path to becoming a physician and clinical researcher, the obstacles she faced, and her dedication to improving outcomes for cancer patients. Dr Hingorani also shares insights into the strengths women bring to STEM, the importance of mentorship, and her vision for the future of oncology research.

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2025: Perspectives and Predictions From Advarra Thought Leaders

Advarra

2024 has been a year of growth and evolution in clinical research. These topics include perspectives on how artificial intelligence (AI) will be leveraged in clinical research, key regulatory trends shaping the industry, the movements of site consolidation, the continued challenges (and potential solutions) of study startup, and more.