In an era where technology is constantly evolving the healthcare landscape, the recent partnership between the New Jersey Innovation Institute (NJII) and Cognome holds significant promise. This alliance is poised to make substantial strides in improving patient care through the integration of
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
