Group behind Retraction Watch aims to pinpoint the most influential flawed health data.

A brief encounter.

Kári Stefánsson, who last month left the Icelandic genetics company deCODE, spoke to Nature about his legacy.

Exploitation of the high seas risks doing irreversible damage to biodiversity, climate stability and ocean equity. A consensus must be built now to save them.

Repeated damage from extreme heat over time seems to be a leading factor causing kidneys to fail.

Scientists are eyeing their legal options in anticipation of new immigration actions.

Cuts to US ‘foreign subawards’ will abruptly end hundreds of clinical trials abroad. Plus, an mpox outbreak is overwhelming Sierra Leone’s health system and a rock with a painted dot that just might represent a nose.

Snippets from Nature’s past.

Letter to the Editor

Letter to the Editor

Letter to the Editor

Governments and institutions must shift from top-down approaches to collaborations with local communities.

Bot-made art undermines research and public trust in science, say illustrators frustrated by inaccurate and outlandish depictions.

Live-animal markets are a natural laboratory for viruses to evolve and spark deadly outbreaks, yet scientists lack support to study the risks they pose.

Delegates to a United Nations meeting on neurotechnology ethics have devised the first set of global guidelines on maintaining users’ privacy.

A clinical trial of CAR T cells is among the first to show that the treatment can work for solid tumours. Plus, humpbacks’ big eyes are nearsighted and how researchers are turbocharging ginseng.

Correction to: Nature https://doi.org/10.1038/s41586-025-08844-z Published online 9 April 2025

Correction to: Nature https://doi.org/10.1038/s41586-025-08630-x Published online 20 January 2025

Distributed software systems are pervasive today and they are increasingly developed/deployed to meet the growing needs for scalable computing. Given their critical roles in modern information infrastructures, assuring the quality of distributed software is crucial. As a fundamental methodology for software quality assurance in general, program analysis underlies a range of techniques and tools for

With the development of the Large Language Models (LLMs), a large range of LLM-based Text-to-SQL(Text2SQL) methods have emerged. This survey provides a comprehensive review of LLM-based Text2SQL studies. We first enumerate classic benchmarks and evaluation metrics. For the two mainstream methods, prompt engineering and finetuning, we introduce a comprehensive taxonomy and offer practical insights into

Performing software engineering (SE) tasks requires the activation of software developers’ brain neural networks. Electroencephalography (EEG) microstate analysis emerges as a promising neurophysiological method to investigate the spatiotemporal dynamics of brain networks at high temporal resolution. An EEG microstate represents a unique topography of electric potentials over the multichannel EEG records

Graph deep learning methods have become popular tools to process collections of correlated time series. Unlike traditional multivariate forecasting methods, graph-based predictors leverage pairwise relationships by conditioning forecasts on graphs spanning the time series collection. The conditioning takes the form of architectural inductive biases on the forecasting architecture, resulting in a family

Differential privacy (DP), a rigorously quantifiable privacy preservation technique, has found widespread application within the domain of machine learning. As DP techniques are implemented in machine learning algorithms, a significant and intricate trade-off between privacy and utility emerges, garnering extensive attention from researchers. In the pursuit of striking a delicate equilibrium between

Plant scientist Johan Sukweenadhi uses ‘hairy-root culture’ to improve ginseng yields at the University of Surabaya in Indonesia.

Trial in China is one of the first times the immune therapy has worked against solid tumours.

Automated programs gathering training data for artificial-intelligence tools are overwhelming academic websites.

The poles hold 70% of Earth’s fresh water and are crucial to science; what’s unfolding there as the planet warms deserves greater attention.

Academia relies on unpaid labour — but researchers should think carefully about what kind of work they’re willing to give to for-profit organizations for free, says Dritjon Gruda.

A computer scientist is struggling to trust their postdoctoral research adviser after negative experiences with the previous two. How do you find one that’s right for you?

The Artemis programme and others aim to send humans to the Moon and, eventually, to Mars. Innovations in health care that support the mission crew could also benefit people at home.

How the smells of outer space could lead us to extraterrestrial life. Plus, an ancient ‘ambidextrous’ protein that can function in both mirror-image forms and the month’s best science images.

This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As LLMs find applications across diverse domains, the reliability and accuracy of their outputs become vital. We define the “factuality issue” as the probability of LLMs to produce content inconsistent with established facts. We first delve into the implications of these inaccuracies. Subsequently, we analyze the

US agency’s new policy could abruptly end studies of infectious diseases and cancer, leaving researchers scrambling for funds.

Freeze–thaw cycles in an icy pond could let an enzyme copy RNA double helices indefinitely — suggesting one way in which evolution could have begun.

In warming coastal seas, a crucial ecosystem is being replaced by ‘turfs’ of red algae, which release chemicals that suppress kelp survival.

Remaining a dominant force in Internet traffic, video streaming captivates end users, service providers, and researchers. This paper takes a pragmatic approach to reviewing recent advances in the field by focusing on the prevalent streaming paradigm that involves delivering long-form two-dimensional videos over the best-effort Internet with client-side adaptive bitrate (ABR) algorithms and assistance

Over the past decade, the integration of electromyography (EMG) techniques with machine learning has significantly advanced prosthetic device control. Researchers have developed sophisticated deep learning classifiers for gesture recognition and created EMG controllers capable of simultaneous proportional control across multiple degrees of freedom. However, the increasing complexity of these machine

Letter to the Editor

Listen to an audio version of a recent Nature Feature.

Mutation in an enzyme leads to resistance to chronic and acute pain, according to research in mice.

A concerted effort is needed to support women in their choice of journal when submitting their manuscript.

Seasoned negotiators share tips on how to handle conversations around pay, bonuses, benefits and contract length.

Modelling liver disease requires in vitro systems that replicate disease progression1,2. Current tissue-derived organoids fail to reproduce the complex cellular composition and tissue architecture observed in vivo3. Here, we describe a multicellular organoid system composed of adult hepatocytes, cholangiocytes and mesenchymal cells that recapitulates the architecture of the liver periportal region

Temporary device records eye movement and brain activity to monitor mental strain.

Reducing the number of copies of one gene in the pathogen could also make it more transmissible.

Specialized immune cells in mice can act as ‘spies’ that help the brain control behaviours such as pursuit of food. Plus, publishing outside of your research field comes with a ‘pivot penalty’ and AI tools that can ‘hear’ signs of illness in a person’s voice.

Hundreds of activists wearing gas masks took to the streets to call out their government for slashing science funding.

Most proteins are left-handed, but scientists have found an ancient molecule that works in both mirror-image forms.

Recommender systems play a pivotal role in helping users navigate a vast selection of products and services. On online platforms, users have the opportunity to share feedback in various modes, such as numerical ratings, textual reviews, and likes/dislikes. Traditional recommendation systems rely on users’ explicit ratings or implicit interactions (e.g., likes, clicks, shares, and saves) to learn user