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The open-source software toolkit aims to predict whether individuals will develop progressive and chronic diseases years before symptoms appear. It can identify at-risk individuals with an accuracy of 85-99% and explain its outputs in ways that humans can understand.
A specialized model used by researchers is becoming a valuable tool for studying human brain development, diseases and potential treatments, according to a team of scientists at Rutgers University-New Brunswick.
After spending years tracing the origin and migration pattern of an unusual type of immune cell in mice, researchers have shown in a new study how activity of 鈥済ood鈥� microbes in the gut is linked to rheumatoid arthritis and, potentially, other autoimmune diseases.
Biotechnology researchers at Rensselaer Polytechnic Institute (RPI) are working to further improve mRNA therapeutics, with the aim of reducing manufacturing costs and enabling additional therapeutic uses for mRNA technology. 聽The team鈥檚 work will focus on improving mRNA manufacturing. Synthetizing mRNA vaccines involves a series of complex chemical reactions.
Cousin to TB is growing threat to vulnerable Cystic Fibrosis patients
Astronomers have discovered a likely explanation for a fracture in a huge cosmic 鈥渂one鈥� in the Milky Way galaxy, using NASA鈥檚 Chandra X-ray Observatory and radio telescopes.聽
Global interest in human spaceflight has ignited passions for the emerging commercial space ecosystem, and efforts to expand space research and related manufacturing are taking center stage in Ohio.
HSS researchers used AI to identify two pain archetypes in patients who had a knee replacement and the most significant predictive factors for severe pain after surgery. Risk factors included younger age, greater physical/mental impairment, higher BMI, and preoperative opioid or gabapentinoid use.
Adults who developed severe obesity before the age of 18 are nearly three times more likely than those who developed the condition later to be subjected to severe experienced weight stigma (EWS), a study led by UT Southwestern Medical Center researchers shows.
Managing complex medication schedules could soon become as simple as taking a single capsule each day. Engineers have developed a capsule that can be packed with multiple medications and release them at designated times throughout the day, potentially reducing the risk of missed doses or accidental overdoses.
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