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You stayed up too late scrolling through your phone, answering emails or watching just one more episode. The next morning, you feel groggy and irritable. That sugary pastry or greasy breakfast sandwich suddenly looks more appealing than your usual yogurt and berries. By the afternoon, chips or candy from the break room call your name. This isn’t just about willpower. Your brain, short on rest, is nudging you toward quick, high-calorie fixes.

There is a reason why this cycle repeats itself so predictably. Research shows that insufficient sleep disrupts hunger signals, weakens self-control, impairs glucose metabolism and increases your risk of weight gain. These changes can occur rapidly, even after a single night of poor sleep, and can become more harmful over time if left unaddressed.

I am a neurologist specializing in sleep science and its impact on health.

A new Science Advances study finds that male Aedes aegypti mosquitoes have more complex auditory processes than females of the species.

Brain imaging identified more neuronal clusters of greater complexity in males, likely linked to male attraction to female flight tones.

As artificial intelligence (AI) tools shake up the scientific workflow, Sam Rodriques dreams of a more systemic transformation. His start-up company, FutureHouse in San Francisco, California, aims to build an ‘AI scientist’ that can command the entire research pipeline, from hypothesis generation to paper production.

Today, his team took a step in that direction, releasing what it calls the first true ‘reasoning model’ specifically designed for scientific tasks. The model, called ether0, is a large language model (LLM) that’s purpose-built for chemistry, which it learnt simply by taking a test of around 500,000 questions. Following instructions in plain English, ether0 can spit out formulae for drug-like molecules that satisfy a range of criteria.