Research

Machine Learning-Derived Model could Lead to Better Disease Screening, Diagnostics, and Management

Using machine learning and clinical data from electronic health records, researchers at the Icahn School of Medicine at Mount Sinai in New York constructed an in silico, or computer-derived, marker for coronary artery disease (CAD) to better measure clinically important characterizations of the disease.

3D-Patient Tumor Avatars: Maximizing their Potential for Next-Generation Precision Oncology

At any time, most cancer patients are receiving a treatment that does not significantly benefit them while enduring bodily and financial toxicity. Aiming to guide each patient to the most optimal treatment, precision medicine has been expanding from genetic mutations to other drivers of clinical outcome. There has been a concerted effort to create "avatars" of patient tumors for testing and selecting therapies before administering them into patients.

AI Searches an Early Sign of Osteoarthritis from an X-Ray Image

Researchers from the University of Jyväskylä and the Central Finland Health Care District have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors’ diagnosis in 87% of cases. The result is important because x-rays are the primary diagnostic method for early knee osteoarthritis.

AI Model Proactively Predicts if a COVID-19 Test might be Positive or Not

COVID-19 and its latest Omicron strains continue to cause infections globally. Serology (blood) and molecular tests are the two most commonly used methods for rapid COVID-19 testing. Because COVID-19 tests use different mechanisms, they vary significantly. Molecular tests measure the presence of viral SARS-CoV-2 RNA while serology tests detect the presence of antibodies triggered by the SARS-CoV-2 virus.

Finding the Right AI for You

The human genome is three billion letters of code, and each person has millions of variations. While no human can realistically sift through all that code, computers can. Artificial intelligence (AI) programs can find patterns in the genome related to disease much faster than humans can. They also spot things that humans miss.

Heart Attack on a Chip

Researchers at the University of Southern California Alfred E. Mann Department of Biomedical Engineering have developed a "heart attack on a chip," a device that could one day serve as a testbed to develop new heart drugs and even personalized medicines.

Fitbit, Apple Watch Screening for Faulty Heart Rhythms Needs More Study

Company claims are leaping ahead of medical science in promoting the use of smartwatches to screen for heart rhythm disorders.

That's the conclusion of a UC San Francisco cardiologist who specializes in arrhythmias and was among the first to explore the potential of smartwatches to alert wearers about possible atrial fibrillation (AF), a serious condition that can sometimes lead to deadly strokes.

Research News

Machine Learning-Derived Model could Lead to Better Disease Screening, Diagnostics, and Management

3D-Patient Tumor Avatars: Maximizing their Potential for Next-Generation Precision Oncology

AI Searches an Early Sign of Osteoarthritis from an X-Ray Image

AI Model Proactively Predicts if a COVID-19 Test might be Positive or Not

Finding the Right AI for You

Heart Attack on a Chip

Fitbit, Apple Watch Screening for Faulty Heart Rhythms Needs More Study

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