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Image: The machine learning model predicts high-risk diabetic cardiomyopathy (Photo courtesy of 123RF)

AI Tool Helps Identify Heart Failure Risk in Diabetes Patients

Researchers have created a machine learning model capable of identifying patients with diabetic cardiomyopathy, facilitating early interventions that could help prevent heart failure in this vulnerable group. More...
25 Oct 2024
Image: The tiny battery features important capabilities that enable a variety of biomedical applications (Photo courtesy of Yujia Zhang/Oxford University)

Miniature Soft Lithium-Ion Battery Could Be Used as Defibrillator During Surgery

Researchers have made significant progress toward developing miniature, soft batteries suitable for various biomedical applications, including the defibrillation and pacing of heart tissues. More...
25 Oct 2024
Radcal
Image: The machine learning model predicts high-risk diabetic cardiomyopathy (Photo courtesy of 123RF)

AI Tool Helps Identify Heart Failure Risk in Diabetes Patients

Researchers have created a machine learning model capable of identifying patients with diabetic cardiomyopathy, facilitating early interventions that could help prevent heart failure in this vulnerable group. More...
25 Oct 2024
Image: Untreated mice develop major scarring after cardiac injury (purple tissue, left) while treated animals show much less scarring (right) (Photo courtesy of WashU Medicine)

Inflammation Reducing Antibody Could Serve as Cardio-Immunotherapy for Heart Failure Patients

A new study indicates that a type of immunotherapy—similar to those approved by the FDA for treating inflammatory conditions like arthritis—may also serve as an effective treatment approach for heart failure. More...
24 Oct 2024
Image: The AI tool predicts risk of emergency hospital visits (Photo courtesy of 123RF)

AI Tool Accurately Identifies Patients Who Could Require Emergency Hospital Admission

Researchers have utilized machine learning to create an update for a tool designed to identify individuals at high risk of requiring urgent hospital care within the next 12 months. More...
24 Oct 2024
Image: The innovative rapid active syphilis test is being designed for point of care professional use and at-home self-testing (Photo courtesy of Atomo Diagnostics)

Rapid Finger Prick Blood Test to Detect Active Syphilis Test at Point of Care

A 15-minute, one-step lateral flow syphilis test has demonstrated potential as an effective means of detecting active syphilis and could help reduce its global burden. More...
24 Oct 2024
Image: The AI tool predicts risk of emergency hospital visits (Photo courtesy of 123RF)

AI Tool Accurately Identifies Patients Who Could Require Emergency Hospital Admission

Researchers have utilized machine learning to create an update for a tool designed to identify individuals at high risk of requiring urgent hospital care within the next 12 months. More...
24 Oct 2024
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