This analysis is by Bloomberg Intelligence Industry Analyst Andrew Galler and Senior Associate Analyst Jack Maltby. It appeared first on the Bloomberg Terminal. Clinical trials represent a significant ...

With various challenges impacting the clinical supply chain, existing models are no longer fit-for-purpose and need to adapt.

Bayesian prediction and modeling have emerged as transformative tools in the design and management of clinical trials. By integrating prior knowledge with accumulating trial data, Bayesian methods ...

Making eligibility decisions based on trends seen in past cases, rather than explicit criteria, is a feasible approach to clinical trial recruitment that is both compatible with data structures found ...

Scientists have designed a new artificial intelligence model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart ...

Health tech startup Dandelion Health launched a clinical artificial intelligence marketplace that merges third-party algorithms and Dandelion's data platform and model validation capabilities to ...

Serial CTRS (CT Response Score) improves prediction of overall survival compared to RECIST 1.1 and Tumor Volume Change in advanced NSCLC CHICAGO--(BUSINESS WIRE)--Onc.AI, a digital health company ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

Decentralized Clinical Trials Market OverviewThe global decentralized clinical trials (DCTs) market is witnessing strong ...

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Based on the RECeUS method, ...