Research

AI Model Identifies Potential Risk Genes for Parkinson's Disease

Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can potentially be repurposed for PD treatment.

The npj Parkinson's Disease report uses an approach called “systems biology,” which uses AI to integrate and analyze multiple different forms of information from genetic, proteomic, pharmaceutical and patient datasets to identify patterns that may not be obvious from analyzing one form of data on its own.

AI Tool that may Assist Underserved Hospitals

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for patients.

This includes using AI to assist in collecting and deciphering diagnostic data among medical professionals, particularly in underserved communities.

Deep Learning Model Helps Detect Lung Tumors on CT

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). The findings of the study could have important implications for lung cancer treatment.

According to the American Cancer Society, lung cancer is the second most common cancer among men and women in the U.S. and the leading cause of cancer death.

New Biomarkers to Detect Colorectal Cancer

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential for colorectal cancer.

In a paper published in Frontiers in Oncology, researchers analysed one of the largest UK Biobank dataset of protein profiles from healthy individuals and colorectal cancer patients and highlighted three proteins - TFF3, LCN2, and CEACAM5 - as important markers linked to cell adhesion and inflammation, processes closely associated with cancer development.

New Study Reveals AI's Transformative Impact on ICU Care with Smarter Predictions and Transparent Insights

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel artificial intelligence (AI) model is revolutionizing ICU care by not only improving predictions of patient length of stay, but also equipping clinicians with clear, evidence-based insights to guide critical decisions.

Most Advanced Artificial Touch for Brain-Controlled Bionic Hand

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves the way for complex touch sensation through brain stimulation, whilst using an extracorporeal bionic limb, that is attached to a chair or wheelchair.

New Computer Models Open Door to Far More Targeted Antibiotics

With antibiotic resistance a growing problem, University of Virginia School of Medicine researchers have developed cutting-edge computer models that could give the disease-fighting drugs a laser-like precision to target only specific bacteria in specific parts of the body.

As it stands, antibiotics kill bacteria indiscriminately.

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