Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...

As it publishes its annual report, Parkland Center for Clinical Innovation has 14 AI models in production with many more ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...

As patients and employers look for alternatives to pricey GLP-1 drugs, Silicon Valley startup Twin Health is using AI and wearable sensors to help people make healthier choices. Rodney Buckley has ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

The study also highlights the limitations of relying on body mass index (BMI) as a proxy for metabolic health.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

The global artificial intelligence (AI) in drug discovery market is experiencing rapid expansion, driven by the need to reduce the high costs and long timelines of traditional pharmaceutical ...

Abstract: The rising worldwide burden of diabetes mellitus highlights the critical importance of reliable systems for early risk identification. This study investigates the effectiveness of four ...

Background: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease globally, yet early diagnosis remains challenging due to conventional biomarker limitations, including UACR ...