A US Food and Drug Administration (FDA) advisory panel has voted to loosen restrictions on controversial peptides that have become popular online, but have not been well researched for human usage. The panel narrowly voted to allow specialised pharmacies to produce drugs including BPC-157, TB-500 and KPV, a major regulatory hurdle towards making them available via prescription. Peptides are small proteins that our bodies normally produce and that have long been used to treat medical conditions, including diabetes. But unregulated injectable peptides have exploded in the online wellness community - including among many young influencers - since GLP-1s (weight loss drugs) became mainstream. The FDA does not have to follow the panel's recommendations, but often does.

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The company donated more than $3.6 million to conservative groups between 2020 and 2025, including $1 million to the MAGA Inc. super PAC. The lettuce supplier at the center of the turbo diarrhea outbreak has spent millions of dollars to sway sentiment around food regulation and elect Donald Trump and other MAGA Republicans, according to public filings. Taylor Farms donated more than $2 million to conservative political groups in 2025, according to Federal Election Commission filings. That includes a $1 million donation to MAGA Inc., the Trump-centric super PAC, and $1.1 million to other super PACs dedicated to electing Republicans. From 2020 through the end of 2024, the company donated more than $1.6 million to conservative PACs, including a total of $850,000 to AFP Action, an anti-regulation super PAC with ties to the Koch network.

The FDA could decide whether to loosen rules around peptide production this week. Some telehealth players are already seeing dollar signs. Has anyone tried to sell you peptides yet? Once a niche interest among bodybuilders and biohackers, peptides are an increasingly popular class of substance hyped by both fringe influencers and the current US Secretary of Health and Human Services. Earlier this year, Robert F. Kennedy Jr. told the podcaster Joe Rogan that the government intended to loosen restrictions on peptide production.

The FDA Says It Didn't Apologize to Supplier Linked to Diarrhea Outbreak, Actually The agency stressed that the July 17 voluntary recall from Taylor Farms still stands. The supplier has been linked to the ongoing cyclospora outbreak. In the middle of a diarrhea shitstorm, the Food and Drug Administration and lettuce supplier Taylor Farms appear to be facing off in a passive aggressive battle of technicalities. On July 17, the California-based company issued a voluntary recall on iceberg lettuce sourced from Central Mexico. The recall came after people across at least five states were sickened with cyclosporiasis, a parasitic infection that causes explosive diarrhea.

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US fast-food chain Taco Bell is removing lettuce from its menu in some states after investigations found it could be linked to an outbreak of explosive diarrhoea caused by a parasite. The decision was taken out of an abundance of caution following discussions with health officials, Taco Bell told the BBC. The US Food and Drug Administration (FDA) says 1,644 people in five states that reported exposure to Taco Bell have been infected by cyclosporiasis, a parasitic infection that spreads through contaminated food or water. Do not eat food items with shredded iceberg lettuce from Mexico served at Taco Bell locations in Indiana, Kentucky, Michigan, Ohio, and West Virginia, the FDA said. No deaths have been reported but 94 people have been hospitalised due to cyclosporiasis infections, which were first detected on 13 May, the FDA added.

Midjourney announces a full-body ultrasound scanner that uses water and sound waves to create body composition maps in about 60 seconds with no radiation or MRI magnets.

We examine hypothesis testing within a principal-agent framework, where a strategic agent, holding private beliefs about the effectiveness of a product, submits data to a principal who decides on approval. The principal employs a hypothesis testing rule, aiming to pick a p-value threshold that balances false positives and false negatives while anticipating the agent's incentive to maximize expected profitability. Building on prior work, we develop a game-theoretic model that captures how the agent's participation and reporting behavior respond to the principal's statistical decision rule. Despite the complexity of the interaction, we show that the principal's errors exhibit clear monotonic behavior when segmented by an efficiently computable critical p-value threshold, leading to an interpretable characterization of their optimal p-value threshold.

Out-of-distribution (OOD) node detection in graphs is a critical yet challenging task. Most existing approaches rely heavily on fine-grained labeled data to obtain a pretrained supervised classifier, inherently assuming the existence of a well-defined pretext classification task. However, when such a task is ill-defined or absent, their applicability becomes severely limited. To overcome this limitation, there is an urgent need to propose a more scalable OOD detection method that is independent of both pretext tasks and label supervision. We harness a new phenomenon called Feature Resonance, focusing on the feature space rather than the label space. We observe that, ideally, during the optimization of known ID samples, unknown ID samples undergo more significant representation changes than OOD samples, even when the model is trained to align arbitrary targets. The rationale behind it is that even without gold labels, the local manifold may still exhibit smooth resonance. Based on this, we further develop a novel graph OOD framework, dubbed Resonance-based Separation and Learning (RSL), which comprises two core modules: (i)-a more practical micro-level proxy of feature resonance that measures the movement of feature vectors in one training step.