New AI-guided technique may improve delivery of brain tumor therapy
Reports and Proceedings
Updates every hour. Last Updated: 27-Oct-2026 12:16 ET (27-Oct-2026 16:16 GMT/UTC)
Researchers presented a groundbreaking artificial intelligence (AI)-guided technique today at the Society of NeuroInterventional Surgery’s (SNIS) 23rd Annual Meeting that may improve the accuracy of delivering experimental therapies directly to malignant brain tumors.
In a phase 2 trial of patients with gastrointestinal cancers, avatrombopag helped 70% of those receiving chemotherapy to stay on treatment schedule, compared with 17% receiving placebo
Weill Cornell Medicine investigators have developed a new AI-based method to assess patients with a form of blood cancer called myelodysplastic neoplasms. The method, published June 30 in Leukemia, compares the physical locations and morphometric (size and shape) characteristics of every hematopoietic cell in the patient’s bone marrow sample with those in healthy bone marrow, to generate a score that reflects disease severity.
Significant advances have been made in the development of patient-derived tumor “organoids” for preclinical research, in two new studies led by Weill Cornell Medicine investigators. The advances represent progress in precision medicine and point to the more routine use of tumor organoids as models for evaluating and optimizing cancer treatments.
Rather than viewing preclinical exercise research mainly as evidence supporting exercise prescriptions, this articla propose a broader framework: exercise oncology should serve as a discovery engine for identifying anti-tumor mechanisms that can be translated into therapies independent of exercise itself. By uncovering the molecular pathways activated during physical activity, researchers may be able to develop new pharmacological strategies capable of benefiting patients who cannot exercise because of frailty, cachexia, treatment-related toxicities, or other co-morbidities.