Integration of single-cell multiomics data allows a more precise identification of rare cell types and states
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 15-May-2026 18:15 ET (15-May-2026 22:15 GMT/UTC)
New twin research shows that innate IQ plays a major role in predicting your future socio-economic status. The study, which follows twins during the crucial early adult years, reinforces the view that heredity and genes shape our life opportunities – and the people we become.
Researchers at Trinity College Dublin have developed a new light-based technology on a tiny chip that could help make the data centres behind cloud computing, artificial intelligence, and global internet services faster and more efficient. In the new research, recently published in leading international journal Nature Communications, the Trinity team reported one such promising advance with collaborators at the University of Bath and the Swiss Federal Institute of Technology Lausanne (EPFL).
The team developed a new way to generate extremely stable signals of light using microscopic ring-shaped devices called “microresonators”. These signals form what scientists call optical frequency combs, sometimes described as “optical rulers” because they produce a series of evenly spaced colours of light that can be used to measure light with remarkable precision.
The researchers also demonstrated a new type of light pulse called a “hyperparametric soliton”. This stable pulse is the key behind the major advancement in this work, as it allows the comb signals to be produced at different colours of light from the laser that powers the device.
This makes the technology useful for high-speed optical communications that play a major role in data transfer (in data centres). And the researchers demonstrated this in a wavelength region used for high-speed data links inside large data centres, an area of growing importance as demand for data continues to surge with the expansion of AI computing infrastructure.
A new study led by Aalto University examines how AI companions impacted people’s mental health and social lives over a two-year period. Combining large‑scale data from the discussion platform Reddit with in-depth interviews, it showed that while interacting with an AI companion can support users, it also coincided with increased signs of distress in their online language. The work offers one of the first causal, long-term examinations of AI companions’ mental health impact at scale, grounded in first‑hand accounts of users’ everyday lives.
In a multicenter retrospective Chinese ICU cohort (5 hospitals, 2012–2023; 9,221 pediatric suspected-infection admissions; 13.4% mortality), the Phoenix Sepsis Score showed only moderate discrimination for in-hospital death (AUROC 0.60). Using XGBoost/SHAP-guided, clinically feasible predictors, the authors created PSS+, presented as a logistic regression nomogram, improving discrimination in internal (AUROC 0.75) and external (AUROC 0.71) validation versus PSS-4/8 and pSOFA.
Artificial intelligence (AI) is increasingly being explored as a tool to support clinical decision-making, yet its real-world performance in pediatric diagnosis remains unclear. Now, a Pediatric Investigation study using authentic clinical cases reports that advanced AI models outperform clinicians in diagnostic accuracy, particularly for rare diseases, while a combined human-AI approach achieves the highest overall success. The findings highlight the potential of AI as a complementary tool to improve diagnostic precision and patient outcomes.