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If validated, this scoring system could help identify patients with oropharyngeal squamous cell carcinoma who can skip chemo. The study was published as a preprint and has not yet been peer reviewed.
In a retrospective study, a team of researchers from several health care systems and universities, including Emory University, has discovered a new artificial intelligence (AI)-derived biomarker that uses routine imaging scans to help predict which patients with lung cancer will respond to immunotherapy. The findings, which were published in the journal Science Advances, not only offer guidance for patients and their physicians making treatment decisions, but can also curtail the financial burden associated with immunotherapy.
With 19 new faculty onboard this fall, AI.Humanity is building a culture and infrastructure that helps AI faculty maximize their contributions as scholars, teachers and mentors.
Researchers at Case Western Reserve University and the University of Washington expect to gain valuable new insights into highly aggressive prostate cancer by combining artificial intelligence (AI)-powered diagnostic imaging with three-dimensional (3D) tissue imaging.