Kaleido Scope

Research uses machine learning to predict chemotherapy response in triple negative breast cancer patients

Chemotherapy is a common treatment for TNBC, but studies show that only 40 percent of tumors respond to the treatment — meaning the tumor reduced in size partially or completely. Chemotherapy has ...
Medical Xpress

Researchers create machine learning model to calculate chemotherapy success in patients with osteosarcoma

A research team at Johns Hopkins Medicine has created and trained a machine learning model to calculate percent necrosis (PN)—or, what percentage of a tumor is "dead" and no longer active—in patients ...
Medical Xpress

New machine learning tool predicts a child's personal risk for cisplatin-induced hearing loss

The powerful chemotherapy drug cisplatin has been used since the late 1970s to treat a variety of cancers. It's highly effective against solid tumors and is often a core element of treatment for ...
Nature

Multiparameter prediction model of immune checkpoint inhibitors combined with chemotherapy for non-small cell lung cancer based on support vector machine learning

The reliable predictive markers to identify which patients with advanced non-small cell lung cancer tumors (NSCLC) will achieve durable clinical benefit (DCB) for chemo-immunotherapy are needed. In ...
ascopubs.org

Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach

Machine Learning Applied to Electronic Health Records: Identification of Chemotherapy Patients at High Risk for Preventable Emergency Department Visits and Hospital Admissions Our final proposed model ...
EurekAlert!

Study identifies biomarker that could predict whether colon cancer patients benefit from chemotherapy

A study led by Dr. Steven Chen at Sylvester Comprehensive Cancer Center and published July 25 in Cell Reports identifies and validates a 10-gene biomarker that potentially predicts whether a stage II ...