From Legacy Systems to AI Ready Ecosystems in Global Life Sciences

Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the ...
Fierce Healthcare

CHAI embarks on post-deployment monitoring for AI as FDA oversight lags

In the absence of a federal framework to monitor the impact of artificial intelligence in the clinic, the Coalition for Health AI (CHAI) is stepping in on post-deployment oversight. The Food and Drug ...
Business Wire

Skymel Unveils First-Ever Real-Time Orchestrator Agent (OA) for Adaptive AI Deployment

SUNNYVALE, Calif.--(BUSINESS WIRE)--AI infrastructure innovator Skymel today announced the launch of its Orchestrator Agent, the industry's first real-time adaptive AI deployment solution that ...
ascopubs.org

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
TMCnet

2025's Top Machine Learning Platforms for Advancing AI Strategy Identified Through User Feedback by Info-Tech Research Group

Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...
ascopubs.org

Prospective silent deployment and evaluation of an intelligent machine learning model for prediction of emergency department visits during cancer treatment.

Development and implementation of a digital remote symptom monitoring program (RESPONSe) to support patients undergoing IV chemotherapy at a community ambulatory cancer clinic in Richmond, BC, Canada.
Forbes

How AI, Data Science, And Machine Learning Are Shaping The Future

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...