Artificial intelligence (AI) and machine learning (ML) represent transformative forces in modern healthcare that are unlocking unprecedented opportunities to improve diagnostic accuracy and optimize treatment plans. By integrating these sophisticated technologies into clinical practice, the
Sepsis, a critical and often fatal condition resulting from the body's response to an infection, continues to pose significant challenges in both diagnosis and treatment. Researchers are increasingly focused on understanding the pivotal role of autophagy-related genes in sepsis, aiming to improve
Breast cancer survivors are growing in number, thanks to early detection and effective treatments. However, alongside their survival, an undercurrent of accelerated aging has been observed, raising questions about the long-term impacts of the disease and its treatments on biological aging. This
The utilization of machine learning to predict nonadherence to antiretroviral treatment (ART) among adolescents in Uganda has unveiled promising solutions. Claire Najjuuko, a doctoral student at Washington University in St. Louis, has led a groundbreaking research initiative aiming to improve ART
A groundbreaking breakthrough by researchers at the Max Planck Institute for Intelligent Systems (MPI-IS) in Stuttgart has led to the transformation of single-cell green microalgae into magnetically controlled microrobots, showcasing exciting potential for the future of targeted drug delivery in
Research on cranial osteopathic manipulation for TBI treatment has received $2.17 million from the NIH. This funding supports Virginia Tech’s Pamela VandeVord and Edward Via College of Osteopathic Medicine’s Gunnar Brolinson. Their collective efforts aim to explore innovative non-invasive
