Massive data analysis advances the understanding of how immunotherapy works
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Apr-2025 01:08 ET (30-Apr-2025 05:08 GMT/UTC)
Researchers identify predictive markers of response to immunotherapy treatment in a study involving data from over 700 patients across six different cohorts, published in Nature Communications. The study has significant relevance, impacting the management of bladder cancer patients. Machine learning tools enabled the identification of key variables for the success of immunotherapy treatment. This innovative methodology has allowed researchers to pinpoint which tumor subtypes respond best to immunotherapy.
In a pioneering study, researchers have successfully realized valley vortex states in water wave crystals, drawing parallels with phenomena observed in photonic crystals. This achievement advances the understanding of valley states in the classical wave domain and opens new avenues for potential applications in ocean energy extraction, marine engineering, and the development of coastal infrastructures.
Researchers from Science Tokyo have contributed to an international collaboration that recently published a perspective article in the prestigious journal Nature Physics. The team, led by Professor Ginestra Bianconi of Queen Mary University (UK), addressed the most recent developments and challenges in complex systems from the angle of higher-order networks, with applications ranging from climate science to machine learning.
Eddies are large, rotating currents that contribute to ocean mixing and transport of heat and salt in seawater. Importantly, eddies modify ocean circulation and can influence climate variability by interacting with larger, more dominant ocean currents, or mean flow. A research team recently decomposed the eddy-mean kinetic energy exchange into three parts, all of which are important for eddy-mean energy exchange, and linked them with parameters for eddy geometry through a geometric diagnosis.
The 2025 Finalists of the Blavatnik Awards for Young Scientists in the United Kingdom were announced today. They include:
Life Sciences Finalists
Nicholas R. Casewell, PhD - Liverpool School of Tropical Medicine – a toxinologist, uses molecular and biochemical approaches to understand variations in snake venom toxins to identify new treatment strategies for snakebite envenoming, a neglected tropical disease.
Andrew M. Saxe, PhD - University College London – a neuroscientist, has developed mathematical analyses illuminating learning mechanisms in artificial and biological systems, advancing AI understanding and insights into memory-related neurological diseases.
Christopher Stewart, PhD - Newcastle University – a microbiologist, has developed novel microbiome-based approaches to prevent necrotising enterocolitis (NEC), the leading cause of death in preterm infants around the world.
Chemical Sciences Finalists
Liam T. Ball, PhD - University of Nottingham – an organic chemist, is developing efficient methods for the safe and sustainable synthesis of molecules vital to healthcare and agriculture.
Brianna R. Heazlewood, PhD - University of Liverpool – a physical chemist, has developed instruments that characterise complex chemical reactions at extremely cold temperatures, providing new insights into the chemistry of space and other challenging environments.
Chunxiao Song, PhD - University of Oxford – a chemical biologist, is developing a state-of-the-art sequencing method to detect DNA and RNA modifications, enabling early cancer detection and leading to the founding of a $410 million biotech company.
Physical Sciences & Engineering Finalists
Benjamin J.W. Mills, PhD - University of Leeds – a biogeochemist, is developing long-timescale models of the Earth, linking geology and biology and giving insight into our planet's connected atmospheric and geologic history, co-evolution of life and the Earth, the future of our planet, and the habitability of other worlds.
Hannah Price, PhD, University of Birmingham – a theoretical physicist, has authored groundbreaking theories and innovative experimental collaborations employing synthetic analogues to simulate higher dimensions, giving insight into physics with more than three spatial dimensions, including the fourth dimension.
Filip Rindler, DPhil – The University of Warwick – a mathematician, has developed the first rigorous theory describing how crystalline materials, like metals, deform through microscopic defects called dislocations. This theory advances foundational mathematics and opens new research avenues in materials science.