Deep learning models can help assess lung cancer diagnoses.

Published Date: 02 Mar 2023

A deep learning model called Sybil can predict future lung cancer risk based on a low-dose chest CT scan and identify people who are likely to benefit from regular treatment.

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Latest News

A single virtual cooking class helped veterans in oncology care manage appetite loss and weight change, with 9.3/10 satisfaction in this VA pilot.

Across 4 VA sites, 22 veterans with AML, MDS, or CMML tolerated low-dose sq decitabine±venetoclax, showing feasibility in a hard-to-treat population.

Distinguishing typical tics from functional tic-like behaviors can be challenging, particularly with psychiatric comorbidities and changing symptom patterns.

Vaginal oestrogen therapy initiated before prolapse surgery improves prolapse symptoms and quality of life in postmenopausal women at 12 months.

Healthcare organizations are reassessing how leadership, professional growth, work-life balance, and opportunities for teaching and research shape physicians’ career decisions.

Fiber supplementation may improve clinical response in adults with irritable bowel syndrome, with psyllium showing a greater clinical response than placebo, a meta-analysis shows.

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Does Pediatric ALL Therapy Work Long-Term in Young Adults?

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Medical Societies Join Forces to Restore Trust in Vaccines

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Belgian Physician Hans Kluge Enters Race to Lead WHO

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Frailty Score Can Predict Mortality in Dialysis Patients

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Survey Finds Patients Withhold Symptoms

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Higher Resilience Tied to Lower End-of-Life Symptom Burden

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