Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab The prognostic model demonstrated ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...

There is often a disconnect between the intended functionality of an artificial intelligence model and its actual functionality once it's integrated into healthcare workflows. Epic has developed an ...

As the industry moves toward continuous bioprocessing, more effective ways are being developed to validate viral clearance. Researchers at Asahi Kasei Bioprocess America have developed a small-scale ...

A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...

Production-grade AI transforms quantitative workflows-from scenario analysis to tail risk modeling-inside investment risk operations engine Clearwater Analytics(NYSE: CWAN), the most comprehensive ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The European Market Infrastructure Regulation (EMIR) 3 Refit comprises many moving parts. One notable element is a process revision for the validation of the models used to calculate initial margins.