New machine learning techniques plumb vast "data lakes" to help researchers design faster, cheaper, more effective clinical ...

In extensive experiments, the new AI model demonstrated a 32.37% relative improvement in the area under the precision-recall curve (PR-AUC) for Phase I clinical trials compared to the base HINT model.

In the completed Phase 1/2a clinical trial (NCT03715985), assessing EVX-01 in combination with a PD-1 inhibitor, eight of twelve metastatic melanoma patients (67%) had objective clinical responses ...

By integrating data from preclinical studies and real-time trial data ... How does AI improve patient stratification and trial design in clinical studies? AI algorithms analyse patient data, including ...

Artificial intelligence (AI) and machine learning are here to stay, so it’s crucial to understand how they can be used to the best effect in the evolving world of clinical trials. From patient ...

This month’s focus on pharmaphorum is clinical trials, so who better to share their view on global clinical trials than Zheng Su, Editor-in-Chief of the Contemporary Clinical Trials journal.

Artificial intelligence (AI) is instrumental in solving several key clinical trial challenges. It can help in the synthesis and analysis of ever-expanding data for the development of innovative ...

“Clinical trials cost billions upon billions of dollars and take many, many, many years. And AI is one of the short, most surefire ways they have of attempting to shorten and cheapen that ...

The transfer of knowledge from animal models to humans is essential for unraveling disease mechanisms and developing precise ...