Groom, 35, Learns He Has Tumor ‘the Size of an Orange’ After Doctors Insisted He Was ‘Too Young’ for Cancer
Ashley Robinson, 35, told doctors about his family history of colon cancer, but says they insisted he was "too young” for the ...
Leaving unmeasurable data out of mathematical models for tumor growth can produce inaccurate results
Mathematical models for predicting how cancer tumors in mice grow over time can give distorted results if unmeasurable data ...
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Preventive Care Mandate at Risk? More AI Wins in Cancer; Risky Short-Term Insurance
The American Medical Association and more than two dozen other health organizations joined in an amicus brief encouraging the ...
Telomir Pharmaceuticals Lead Drug Candidate Inhibits Tumor Growth In Aggressive Prostate Cancer Cells, Animal Study Shows
Telomir-1 shows potential in oncology and age-related diseases, with new findings on its role in tumor suppression and ...
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UCLA study: AI helps predict success of prostate cancer treatment
A new UCLA study has found that artificial intelligence could help doctors identify prostate cancer patients most ...
Uniquely shaped, fast-heating nanoparticles halt ovarian tumor growth
New magnetic nanoparticles in the shape of a cube sandwiched between two pyramids represent a breakthrough for treating ovarian tumors and possibly other types of cancer.
AI tool helps predict who will benefit from focal therapy for prostate cancer
A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment ...
Phyllodes Tumors: Rare Breast Neoplasms Explained
Phyllodes tumors, varying from benign to malignant, need precise diagnosis and surgery, with a focus on multidisciplinary ...
Telomir Pharmaceuticals Announces Significant Anti-Cancer Effects in Prostate Cancer Animal Model Using Highly Aggressive Human Prostate Cancer Cells
This groundbreaking finding suggests that Telomir-1 may selectively benefit healthy cells while suppressing malignant growth, challenging the assumption that telomere-elongating drugs inherently ...