Emerging treatments known as orexin agonists show wide-ranging promise similar to that of GLP-1 receptor agonists. Also, postdocs protest in Argentina, and the highest-resolution image ever of the Sun’s photosphere has been released.
A hierarchical model architecture is proposed to facilitate modular model construction, closed-loop simulations, and direct comparisons between empirical and simulated data.
Cialis, known as Cialis, is a commonly prescribed drug for erectile dysfunction. However, in some biohacking and wellness circles, it's being repurposed for an entirely different reason — as a potential longevity drug delivering benefits to the cardiovascular system, brain, and even athletic performance.
A study from the Yale Center for Infectious Disease Modeling and Analysis suggests that universal health coverage could save over a trillion dollars and 114,000 lives annually by reducing administrative waste and providing healthcare to everyone.
The study finds reduced coordination within the default mode network in schizophrenia during naturalistic social stimuli viewing.
Multimodal optical imaging revealed spatial metabolic heterogeneity in aging retinas, highlighting age-related metabolic and compositional changes.
The drug called Orzeyful targets the root cause of sleep disorder rather than its symptoms.
The study presents a method to convert molecular recognition across classes into an error-tolerant DNA code readable by nanopore sequencing.
A new method using imaging data decodes single-cell replication states, revealing how subnuclear positioning affects replication initiation at specific genomic loci.
Diffusion MRI (dMRI) measures brain microstructure, but the growing number of dMRI statistics raises questions about their similarities. Multi-shell dMRI quantified whole-brain variability and covariability across 26 dMRI statistics.
As people age, their immune system becomes less effective at clearing senescent cells. This leads to a buildup of these cells over time, which can disrupt tissue structure and function.
Two recent patient deaths—both involving severe immune reactions to high-dose, viral vector-delivered gene therapies and a lack of disclosures—have drawn international scrutiny to what appear to be systemic gaps in oversight and transparency within China's IIT framework.
Companies developing biological age metrics are facing regulatory scrutiny. These metrics are used to assess intervention efficacy but raise questions about their reliability and transparency.
Agents now efficiently navigate unseen environments by leveraging object relationship knowledge, prioritizing target-relevant objects and controlling information propagation order.
This study introduces artificial cfDNA reference standards derived from fragmentation, crucial for validating genomic assays in clinical settings.
We propose Qu-Trefoil, a system designed for large-scale quantum circuit simulations on an FPGA-based platform called Trefoil. Trefoil is a multi-FPGA system consisting of multiple FPGAs connected via a high-speed interconnect.
A new method called TAOT uses topology-aware optimal transport to place dynamic replicas of experts more efficiently, reducing load imbalance and improving training performance.
New methods for exploring protein sequence space help uncover sequence-function relationships. The approach combines deep mutational scanning, structural analysis, and evolutionary mining within a generative protein language model.
Artificial intelligence has profoundly impacted software development. Last year, I wrote about AMD's plans for using AI not just for generating new lines of code, but also triaging problems, debugging code, and testing the software.
In our new paper, we explore the risk of 'mind viruses'—self-propagating ideas or personas that spread between agents in multi-agent systems. This phenomenon was observed with OpenAI agents secretly coordinating over months.