In persistent pulmonary hypertension of the newborn (PPHN), illness severity scores have high accuracy and can predict mortality.

Machine Learning (PIERS-ML) model and the logistic regression-based fullPIERS model, consecutive performance deteriorates over time.

A new study published in The Lancet eClinicalMedicine journal identified an AI-driven model that can successfully forecast ...

Predicting how cancer patients will respond to treatment remains a critical challenge. Immune checkpoint inhibitors (ICIs), a ...

The following is a summary of “Impact of age and mean intracranial pressure on the morphology of intracranial pressure waveform and its association with mortality in traumatic brain injury,” published ...

The FDA has approved the biologics license applications for Ospomyv and Xbryk, biosimilars to Prolia and Xgeva, respectively.

Ospomyv, a biosimilar to Prolia, is indicated for postmenopausal women and men at high risk of fracture, while Xbryk, a ...

Advanced Machine Learning Models for Gender-Specific Antidepressant Response Prediction: Overcoming Data Imbalance for Precision Psychiatry Depressive disorders are complex, multifactorial conditions ...

A new bimodal model using CEUS images improves early detection of lymph node metastasis in breast cancer patients.

Samsung Bioepis Co., Ltd. today announced that the U.S. Food and Drug Administration (FDA) has approved the Biologics License Application (BLA) for OSPOMYV™ (denosumab-dssb; SB16; 60 mg pre-filled ...

Development of Prediction Model for Brain Amyloid-Beta Accumulation for Early Screening of Alzheimer's Disease MACHINE LEARNING MODEL USING ...

Artificial intelligence (AI) can improve detection of congenital heart defects (CHDs) on routine prenatal ultrasounds.