The world of personalized cancer treatment has seen groundbreaking advancements with the introduction of combination immunotherapy, particularly in the realm of metastatic gastrointestinal (GI) cancers. Researchers at the National Cancer Institute (NCI) have developed a transformative approach that
Precision medicine offers significant promise in enabling targeted therapies for complex illnesses, making treatment more effective and patient-centered. However, the process of facilitating access and reimbursement for these therapies presents unique challenges. Unlike the more predictable path of
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
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
