Tech & Innovation

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

Google has long been at the forefront of technological innovation, and its efforts in the health sector are no exception. By leveraging advanced artificial intelligence (AI) capabilities, the tech giant aims to enhance global health outcomes through improved accessibility to quality health

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

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

The recent advancements in open-source AI models have sparked an engaging dialogue in the medical community about their potential to rival proprietary counterparts in diagnosing complex clinical cases. A National Institutes of Health (NIH)-funded study, led by researchers at Harvard Medical School,