Can the AI Driving ChatGPT Help to Detect Early Signs of Alzheimer's Disease?
The artificial intelligence algorithms behind the chatbot program ChatGPT - which has drawn attention for its ability to generate humanlike written responses to some of the most creative queries - might one day be able to help doctors detect Alzheimer's Disease in its early stages. Research from Drexel University’s School of Biomedical Engineering, Science and Health Systems recently demonstrated that OpenAI's GPT-3 program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia.
Read more ...
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.
Read more ...
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.
Read more ...
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.
Read more ...
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.
Read more ...
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.
Read more ...
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.
Read more ...