In two commentaries published this week, Elana Fertig, PhD, says AL should be combined with other methods to find cancer treatments -- and the data should be shared ethically and reproducible. Credit: University of Maryland School of Medicine

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Science & Tech

AI’s Role in Health Predictions: A Balanced Approach

In two commentaries, researchers at the University of Maryland School of Medicine say combining modeling methods—and ethically sharing health data—could transform treatment With the advent of artificial intelligence (AI), predictive medicine is becoming an important part of healthcare, especially in cancer treatment. Predictive medicine uses algorithms and data to help doctors understand how a cancer might continue to grow or react to specific drugs—making it easier to target precision treatment for individual patients. While AI is important in this work,…

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Research project “lokalRAIN” captures precipitation acoustically to improve weather forecasts
Information Technology

Innovation in Rainfall Detection: New Acoustic Sensor System for Real-Time Data

The German Fraunhofer Institute for Digital Media Technology IDMT has launched the “lokalRAIN” research project in collaboration with Pan Acoustics GmbH from Wolfenbüttel. The goal of the project is to develop an acoustic rain sensor and a cost-efficient sensor network for the precise real-time detection and transmission of precipitation data. The project is funded by the German Federal Ministry for Economic Affairs and Climate Action and runs from October 2024 to June 2026. Accurately measuring precipitation remains a major challenge,…

Rendition of the discovery where the excitons (e-h pairs) interact via ripples in the magnetic structure akin to an array of spinning tops generating a wave that affects each other and couples the excitons. Credit: Credit: Visakh Menon
Physics & Astronomy

CCNY Physicists Reveal New Insights on Spin Wave Interactions

Groundbreaking research by physicists at The City College of New York is being credited for a novel discovery regarding the interaction of electronic excitations via spin waves. The finding by the Laboratory for Nano and Micro Photonics (LaNMP) team headed by physicist Vinod Menon could open the door to future technologies and advanced applications such as optical modulators, all-optical logic gates, and quantum transducers. The work is reported in the journal Nature Materials. The researchers showed the emergence of interaction…

In this picture, we capture the binary in the moment where the first white dwarf has just exploded, hurtling material towards its nearby companion which is on the cusp of explosion too. This event will occur in about 23 billion years, yet in only 4 seconds do both stars explode (Credit: University of Warwick/Mark Garlick) Credit: Credit University of Warwick/Mark Garlick
Physics & Astronomy

Astronomers Discover Spiraling Stars Near Earth

Warwick astronomers discover the first double white dwarf binary, destined to explode as type 1a supernova University of Warwick astronomers have discovered an extremely rare, high mass, compact binary star system only ~150 light years away. These two stars are on a collision course to explode as a type 1a supernova, appearing 10 times brighter than the moon in the night sky. Type 1a supernovae are a special class of cosmic explosion, famously used as ‘standard candles’ to measure distances…

The optical anti-matter imager with the 60 photo sensors taken from mobile phones. Credit: Andreas Heddergott / TUM
Technology Offerings

Smartphone Sensors Evolve Into High-Resolution Antimatter Camera

Mayor improvement for particle research at CERN Scientists working together in the “Antihydrogen Experiment: Gravity, Interferometry, Spectroscopy” (AEgIS) and other experiments at CERN’s Antimatter Factory, such ALPHA and GBAR, are on a mission to measure the free-fall of antihydrogen under Earth’s gravity with high precision, each using a different technique. AEgIS’s approach involves producing a horizontal beam of antihydrogen and measuring its vertical displacement using a device called a moiré deflectometer that reveals tiny deviations in motion and a detector…

The AI model reduces computation time to one-fifteenth of the traditional model’s time while preserving accuracy. Credit: Osaka Metropolitan University
Information Technology

AI-Powered Ocean Simulations: Fast and Accurate Insights

New machine learning model cuts fluid simulation time from 45 minutes to 3 AI has created a sea change in society; now, it is setting its sights on the sea itself. Researchers at Osaka Metropolitan University have developed a machine learning-powered fluid simulation model that significantly reduces computation time without compromising accuracy. Their fast and precise technique opens up potential applications in offshore power generation, ship design and real-time ocean monitoring. Accurately predicting fluid behavior is crucial for industries relying…

Example of protein aggregates within a cell. Credit: IIT-Istituto Italiano di Tecnologia
Information Technology

Machine Learning Algorithm Targets Brain-Damaging Proteins

A machine-learning algorithm to study the behavior of proteins within cells and to predict their ability to trigger neurodegenerative diseases such as Amyotrophic Lateral Sclerosis (ALS), Parkinson’s, and Alzheimer’s. The study published in Genome Biology A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), developed a machine-learning algorithm to study the behavior of proteins within cells and to predict their ability to trigger neurodegenerative diseases such as Amyotrophic Lateral Sclerosis (ALS), Parkinson’s,…

David Lund Credit: Chalmers University of Technology
Information Technology

AI Predicts Multi-Resistance in Bacteria: Key Insights

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs in wastewater treatment plants and inside the human body. “By understanding how resistance in bacteria arises, we can better combat its spread. This is crucial to protect public health and the healthcare system’s ability to treat infections,” says Erik Kristiansson, Professor at the Department of…

Aguas Zarcas meteorite with irregular surface features.This 146g stone is on loan to the Buseck Center for Meteorite Studies from Michael Farmer. Credit: Arizona State University / SETI Institute.
Physics & Astronomy

Asteroid Pinball: How a Mudball Meteorite Dodged Danger

The research team now believes that Aguas Zarcas is strong because it avoided collisions in space and did not have the cracks that weaken many meteorites. In the Pinball World of Asteroids, a Mudball Meteorite Avoided Collisions March 31, 2025, Mountain View, CA — In April 2019, rare primitive meteorites fell near the town of Aguas Zarcas in northern Costa Rica. In an article published online in the journal Meteoritics & Planetary Science, an international team of researchers describe the…

Thousands upon thousands of stars illuminate this breathtaking image of star cluster Liller 1, imaged with Hubble’s Wide Field Camera 3. This stellar system, located 30,000 light-years from Earth, formed stars over 11 billion years. Credit: ESA/Hubble & NASA, F. Ferraro
Physics & Astronomy

Flatiron Institute Launches New MESA Software for Stellar Evolution

As part of its commitment to unraveling the universe’s mysteries through sustained support of the astrophysics community, the Flatiron Institute is securing the future of MESA (Modules for Experiments in Stellar Astrophysics), an open-source software suite that has transformed how researchers model the evolution of stars. As MESA’s creator, Bill Paxton, steps down, the Flatiron Institute’s Center for Computational Astrophysics (CCA) is stepping up to support MESA’s need for ongoing maintenance and continued development. CCA has hired Philip Mocz as…

Amazing red planet Mars with sunrise rays in deep starry space. Space Wallpaper by alonesbe, Envato
Physics & Astronomy

Electrochemical CO2 Splitting: Mars, Underwater & Earth Uses

Direct splitting: electrochemical process uses carbon dioxide to produce oxygen To mitigate global climate change, emissions of the primary culprit, carbon dioxide, must be drastically reduced. A newly developed process helps solve this problem: CO2 is directly split electrochemically into carbon and oxygen. As a Chinese research team reports in the journal Angewandte Chemie, oxygen could also be produced in this way under water or in space—without requiring stringent conditions such as pressure and temperature. Leafy plants are masters of…

From left, Utah State University researchers Emily Calhoun, doctoral student, and Norah Saarman, assistant professor in the Department of Biology and USU Ecology Center, retrieve mosquito specimens from a lab freezer. Saarman is the recipient of a grant from the American Mosquito Association Research Fund to aid her efforts in developing AI-based species identification tools to mitigate the spread of mosquito-borne diseases. Credit: M. Muffoletto, USU
Information Technology

AI-Driven Insights into Mosquito Disease Vectors

Norah Saarman receives American Mosquito Control Association Research Fund grant to develop improved species identification method Morphology is the study of the form and structure of organisms, including their physical characteristics such as shape, size and arrangement of parts. Morphology is key to taxonomy, the science of classifying organisms, as scientists use morphology to identify and study species, as well as to explore evolutionary processes. Identifying species is challenging — even with large animals and plants, says Utah State University…

Marcia O’Malley, the Thomas Michael Panos Family Professor in Engineering and professor and chair of mechanical engineering at Rice University. Credit: Rice University.
Technology Offerings

Exploring the Future of Wearable Haptic Technology

From virtual reality to rehabilitation and communication, haptic technology has revolutionized the way humans interact with the digital world. While early haptic devices focused on single-sensory cues like vibration-based notifications, modern advancements have paved the way for multisensory haptic devices that integrate various forms of touch-based feedback, including vibration, skin stretch, pressure and temperature. Recently, a team of experts, including Rice University’s Marcia O’Malley and Daniel Preston, graduate student Joshua Fleck, alumni Zane Zook ’23 and Janelle Clark ’22 and other collaborators, published…

An artist's concept of NASA's Parker Solar Probe. Credit: NASA
Physics & Astronomy

NASA’s Parker Solar Probe Team Wins 2024 Collier Trophy

The innovative team of engineers and scientists from NASA, the Johns Hopkins Applied Physics Laboratory in Laurel, Maryland, and more than 40 other partner organizations across the country that created the Parker Solar Probe mission has been awarded the 2024 Robert J. Collier Trophy by the National Aeronautic Association (NAA). This annual award recognizes the most exceptional achievement in aeronautics and astronautics in America with respect to improving the performance, efficiency, and safety of air or space vehicles in the previous year….

A new type of quantum computer studies the dance of elementary particles. Image Credit: Harald Ritsch
Physics & Astronomy

New Quantum Computer Analyzes Elementary Particle Dance

The standard model of particle physics is our best theory of the elementary particles and forces that make up our world: particles and antiparticles, such as electrons and positrons, are described as quantum fields. They interact through other force-fields, such as the electromagnetic force that binds charged particles. To understand the behaviour of these quantum fields and with that our universe, researchers perform complex computer simulations of quantum field theories. Unfortunately, many of these calculations are too complicated for even…

An algorithm that learned from tens of thousands of nutrition prescriptions for premature babies could reduce medical errors and better identify what nutrients the smallest patients need. Image Credit: Emily Moskal/Stanford Medicine
Information Technology

AI Enhances IV Nutrition Delivery for Preemies, Stanford Study

AI-enhanced IV nutrition for preemies Artificial intelligence can improve intravenous nutrition for premature babies, a Stanford Medicine study has shown. The study, which will publish March 25 in Nature Medicine, is among the first to demonstrate how an AI algorithm can enable doctors to make better clinical decisions for sick newborns. The algorithm uses information in preemies’ electronic medical records to predict which nutrients they need and in what quantities. The AI tool was trained on data from almost 80,000…

black hole galaxy. Image by markusgann, Envato
Physics & Astronomy

Black Holes: A Surprising Source for Nurturing Life

A new study co-led by Dartmouth researchers shows how radiation from black holes could have a nurturing effect on life. At the center of most large galaxies, including our own Milky Way, sits a supermassive black hole. Interstellar gas periodically falls into the orbit of these bottomless pits, switching the black hole into active galactic nucleus (AGN)-mode, blasting high-energy radiation across the galaxy. It’s not an environment you’d expect a plant or animal to thrive in. But in a surprising…

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