Preoperative ctDNA and tumor volume predict colorectal cancer…
A blood test combined with imaging before surgery could help doctors identify which colorectal cancer patients need closer monitoring after treatment.
- Lab
- Preclinical
- Early trials
- Late trials
- In practice
Data-driven prioritization of high-risk individuals for weight loss…
Machine learning can identify people most likely to develop obesity-related health problems, helping doctors target weight-loss treatments more fairly across different populations.
Standard additionBRAF Alterations in Chronic Lymphocytic Leukemia
Understanding BRAF mutations in blood cancers helps researchers recognize why some leukemia patients resist treatment, sharpening focus on who needs different approaches.
Underserved or high-risk populationsSickle cell retinopathy in Africa
Documenting rates of vision-threatening complications in African sickle cell patients highlights a critical care gap that improved screening programs could address.
Promising but preliminaryAutophagy revealed as a targetable vulnerability in senescent cells…
Scientists discovered how aging cells survive and found drugs that can selectively kill them, opening a new avenue for treating age-related diseases.