Big Data & Analytics

The exposure of Medicaid identification numbers and provider names for nearly 400,000 people highlights the urgent need for stricter procurement requirements for government IT vendors and contractors. This incident, officially disclosed by the District of Columbia’s Department of Health Care

Researchers are leveraging massive longitudinal datasets to distinguish meaningful biological signals from the background noise inherent in human stool samples. This evolution represents a departure from the antiquated model of gut health, which historically relied on static "snapshots" that

The proposed six-level autonomy framework provides a shared technical vocabulary for engineers and regulators to navigate the gradual handoff of tasks from humans to machines. This strategy, unveiled at the Roche Pharma Day, establishes a rigorous pathway for the integration of robotics and

Modern drug discovery is shifting away from labor-intensive physical screening toward a hierarchical computational approach that merges machine learning with structural biology. This methodological evolution represents a major paradigm shift in oncology, where researchers at the Hangzhou Lin’an

Pharma developers must reconcile their mathematical models with biological reality to ensure that effective treatments for systemic lupus are not sidelined by outdated trial designs. The recent clinical development of enpatoran, a highly anticipated first-in-class treatment for systemic lupus

While the COVID-19 pandemic accelerated the shift toward virtual care, the rapid growth of telehealth platforms has outpaced the federal regulations intended to protect sensitive patient data. For millions of Americans, the appeal of services like Hims & Hers, BetterHelp, and GoodRx lies in the