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 ...

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and trained a machine learning model to calculate percent necrosis (PN)—or, what percentage of a tumor is "dead" and no longer active—in patients ...

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 ...

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 ...

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 ...

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Adverse effects of chemotherapy often require ...

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 ...

Cork University Hospital has confirmed it has a machine to prevent hair loss while undergoing chemotherapy, but that it is not in use due to “staffing and training requirements”. In June 2023, then ...