Aruni Ghose, Director and Chief Executive Officer at Canprecise AI, Chief Medical Officer at Shiksak, shared a post on LinkedIn:
“Excited to have joined the Velindre Cancer Service, Velindre University NHS Trust, Velindre Cancer Centre Fundraising – South East Wales Cancer Immunotherapy Toxicity Management Service under Ricky Frazer, Immuno-Oncology Clinical Network, The Immunobuddies Podcast.
We do need AI Integration of Clinical Prediction Models (CPMs) for Response and Toxicity Prediction for IO agents – To Develop Predictive, Preventative, Risk Mitigating Cost Effective IO Toxicity Ecosystems – exciting Analysis with Curenetics, Sola Adeleke, Giuseppe Banna, International Association for the Study of Lung Cancer, Stergios Boussios and Aaditya Tiwari, OncoFlow Cancer AI Validation Lab!
Wonderful work by Ishir Sharma, Shreya Mittal, Yuki Agarwala for this Published Abstract.”
Title: 134 Comparative Performance of Machine Learning-Based Clinical Prediction Models for Response to Immune Checkpoint Inhibitors in Advanced NSCLC: A Systematic Reviewand Meta-Analysis of Internally Validated Models
Auhtors: Ishir Sharma, Shreya Mittal, Aaditya Tiwari, Yuki Agarwal, Stergios Boussios, Ricky Frazer, Sola Adeleke, Giuseppe L. Banna, Aruni Ghose
Read The Full Article
Other articles about NSCLC on OncoDaily.