AI in Triple Negative Breast Cancer Research Surges, Ten-Year Mapping Shows
A ten-year bibliometric analysis of 320 articles finds artificial intelligence research on triple negative breast cancer peaked at 104 publications ...
A ten-year bibliometric analysis of 320 articles finds artificial intelligence research on triple negative breast cancer peaked at 104 publications ...
A retrospective US cohort of 2,694 pancreatic cancer patients found MTAP deletion in 30.5 percent of tumors and consistently lower ...
A new review examines how patient-derived tumor organoids retaining immune cells could improve preclinical prediction of immunotherapy response while noting ...
A newly published consensus standard defines unified workflows, validation criteria and drug testing protocols for breast cancer organoids grown from ...
A Moroccan cohort study of 215 advanced ovarian cancer patients found local HRD testing feasible, with 55.1 percent of evaluable ...
A new computational framework combines protein interaction network topology with imbalance-aware ensemble machine learning to identify cancer driver genes, achieving ...
A multimodal AI model built from routine pathology slides predicts bladder cancer survival and led researchers to RTN3, which drives ...
A retrospective study of 125 advanced sarcoma patients found molecular tumor board recommendations led to treatment in 32.8 percent, with ...
A Nature Reviews Cancer review argues that theranostics should expand beyond radiolabelled peptides to include nanotheranostics, microtheranostics and imaging-guided surgery.
A microfluidic platform called GradientScreen generates overlapping drug gradients and its combination response metrics correlate with minimal residual disease and ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine