Diseases, Conditions, Syndromes

Researchers publish COVID-19 'prediction model'

Using a combination of demographic and clinical data gathered from seven weeks of COVID-19 patient care early in the coronavirus pandemic, Johns Hopkins researchers today published a "prediction model" they say can help other ...

Surgery

Study reveals mechanics of the ideal surgical knot

Think about the last time you tied your shoe: maybe you tied it tightly, or tied multiple knots to ensure the laces wouldn't come undone. You likely relied on intuition to tell you how much tension to apply to keep the laces ...

Cardiology

Neural network diagnoses heart disease

A deep neural network can be used to classify coronary artery disease from clinical heart disease features, according to new work published in the International Journal of Dynamical Systems and Differential Equations.

Oncology & Cancer

Algorithm turns cancer gene discovery on its head

A method for finding genes that spur tumor growth takes advantage of machine learning algorithms to sift through reams of molecular data collected from studies of cancer cell lines, mouse models and human patients.

Ophthalmology

AI model predicts risk for age-related macular degeneration

(HealthDay)—A new artificial intelligence algorithm can predict risk for age-related macular degeneration (AMD), according to a study published in the April issue of Translational Vision Science and Technology.

Neuroscience

AI could predict ideal patients for spinal cord stimulation

Spinal cord stimulation is a minimally invasive FDA-approved treatment to manage chronic pain such as back and neck pain. This neuromodulation technique uses electricity and an implantable device, which has been increasingly ...

Health informatics

'Self-trained' deep learning to improve disease diagnosis

New work by computer scientists at Lawrence Livermore National Laboratory (LLNL) and IBM Research on deep learning models to accurately diagnose diseases from X-ray images with less labeled data won the Best Paper award for ...

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