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The U.S. Food and Drug Administration has approved the first generic version of EpiPen and EpiPen Jr (epinephrine) auto-injector for the emergency treatment of allergic reactions, including those that are life-threatening (anaphylaxis), in adults and pediatric patients who weigh more than 33 pounds.

Ohio University scientists have been awarded a five-year $1.7 million grant to advance research on a potential prevention and treatment for non-melanoma skin cancers.

Four in 10 parents say they are very or somewhat likely to move their child to a different provider if their doctor sees families who refuse all childhood vaccines, according to a new national poll.

A new molecule has been developed that could help preserve heart tissue during – and even after – a heart attack.

A team have discovered a potential new treatment approach for lung cancer patients with mutations in the KRAS pathway – a mutation that occurs in approximately 30% of lung cancer patients.

Prescription omega-3 fatty acid medication reduces triglyceride levels by 20-30% among the majority of people who require treatment for high triglyceride levels, according to a science advisory from the American Heart Association.

A new paper demonstrates distinct improvements to the inference and generalization performance of diffractive optical neural networks. Ultimately these improvements may provide major advantages for autonomous vehicles, robotics and various defense-related applications, among others.

Technology that can help interpret inaudible calls from laboratory mice has been developed in a bid to improve research. The computer tool can reveal valuable insights into rodents' communication patterns and is more reliable than existing methods, which rely on human interpretation.

Stock market investors often rely on financial risk theories that help them maximize returns while minimizing financial loss due to market fluctuations. Inspired by those theories, researchers have developed a "risk-aware" mathematical model that could improve the performance of cloud-computing networks across the globe.

A new paper explains how we can give machines an edge at solving the challenges in materials science by intelligently organizing the data to be analyzed based on human knowledge, suggesting humanity might not be obsolete in an AI-driven world.