The new model combines clinical, genetic, and transcriptomic information to analyze the activity of more than 12,900 genes in people with a family history of thrombosis

The research identifies 494 genes associated with the disease and uncovers new molecular signals that could help explain its development

Published in the Journal of Thrombosis and Haemostasis, the results indicate that incorporating transcriptomic data improves the classification of individuals with similar clinical characteristics

Tuberculosis, caused by the bacterium Mycobacterium tuberculosis (Mtb) is the world’s deadliest single-agent caused infection, responsible for 1.23 million deaths in 2024, according to the World Health Organization. The bacterium’s unique outer cell membrane is notoriously hard to penetrate, making few drugs, including antibiotics, effective in treating the disease.  However, a research team led by the University of Massachusetts Amherst has developed a pair of techniques that can vastly speed up the search for better tuberculosis drugs.

SAN ANTONIO — July 6, 2026 — A new Southwest Research Institute-led study compared eight AI-generated lunar crater catalogs, discovering that many of their published performance metrics drop sharply when the databases are evaluated using the same scientific standards humans are held to. Crater catalogs provide a comprehensive record of impact craters on planetary surfaces. They log the precise location, dimensions and physical characteristics of impact structures to help scientists understand the geological history of the solar system and its components.

Genetically engineered CAR T cells expressing artificial receptor proteins are increasingly used in the clinic to boost the immune system’s response against leukemias and other cancers. In a study to be published July 6 in the Journal of Experimental Medicine (JEM), researchers in Switzerland have adapted this approach to suppress the immune system’s response to a common allergen, reducing or preventing asthma symptoms in mice. The technique could eventually be used to treat a wide variety of allergies in humans.

A new artificial intelligence (AI) framework offers a more reliable way to restore partially hidden objects in satellite imagery. 

Nanyang Technological University, Singapore (NTU Singapore) and Japanese technology company Fusic Co., Ltd. are collaborating to explore the development of artificial intelligence-enabled ground systems that could help operators manage increasingly large and complex satellite constellations. The collaboration will study how AI could assist ground-control teams with routine satellite operations, mission scheduling, ground-station allocation and the early detection of technical problems.These proposed systems can also be used to automate routine tasks with human oversight, helping operators respond more quickly and manage larger satellite fleets more efficiently. The partnership aims to bring together NTU's satellite operations expertise with Fusic's capabilities in cloud computing, artificial intelligence and software engineering. The NTU-Fusic Memorandum of Understanding was signed today, 6 July, at SPACETIDE 2026, a major space business conference held in Tokyo, as Singapore and Japan mark 60 years of diplomatic relations.