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情绪识别和陪伴产品应区分体验优化、心理健康声明、敏感数据处理和独立证据。
匹配知识节点、相关术语或方法论说明。STAT+: Pharmalittle: We’re reading about Lilly obesity drug data, a push for FDA to ban DTC ads, and more
A study of Lilly's retatrutide weight loss drug in people with heart disease did not answer a crucial question — whether it reduces cardiovascular risk
匹配采集文档中文标题、摘要、原始来源或文档类型。Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit
In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Agent Toolkit to build a supply-chain risk example that helps a planner move from an Amazon Quick dashboard and knowledge context to a guided mitigation recommendation.
匹配采集文档中文标题、摘要、原始来源或文档类型。Patients’ and Providers’ Attitudes Toward Artificial Intelligence and Electronic Health Record Use in Deep Phenotyping and Rare-Disease Screening: An Empty Systematic Review
Healthcare | review | Background: The integration of Artificial Intelligence (AI) and algorithms into healthcare is transformative, particularly in diagnosing rare diseases (RDs), enhancing the accuracy and speed of condition identification. Objectives: This systematic literature review investigates perceptions and attitudes toward the use of AI in Electronic Health Records (EHRs) for screening patients at risk of RD, aiming to understand patients’ and healthcare providers’ expectations and concerns. Methods: Following PRISMA guidelines, a systematic search was performed in December 2023. A se
匹配采集文档中文标题、摘要、原始来源或文档类型。Building a Custom Metrics Exporter for Kubernetes
Kubernetes ships with built-in awareness of CPU and memory, but most real-world scaling decisions depend on signals that live entirely outside that narrow window: how many messages are waiting in a queue, how long the last batch job took, how many active WebSocket connections a pod is holding. When the built-in metrics are not enough, a metrics exporter bridges that gap. This post walks through writing one from scratch, packaging it as a container, and wiring it into a cluster so that Prometheus — and ultimately the HorizontalPodAutoscaler — can consume it. What a metrics exporter actually doe
匹配采集文档中文标题、摘要、原始来源或文档类型。Suicide prevention and preserving the daily fight to live
Nature Mental Health, Published online: 22 July 2026; doi:10.1038/s44220-026-00685-7 Suicide prevention research has largely focused on reducing despair and risk factors. Yet theory, evidence and clinical encounters show that suicidal people are driven not only by a will to die, but also by a will to live. This Comment urges greater attention to future life-focused psychological processes that support daily efforts to stay alive.
匹配采集文档中文标题、摘要、原始来源或文档类型。Unpredictability is a childhood adversity that contributes to mental health problems
Nature Mental Health, Published online: 21 July 2026; doi:10.1038/s44220-026-00681-x In this population-based cohort study, Glynn et al. tested the contribution of childhood unpredictability to mental health outcomes in ~30,000 participants, examining the relative and additive roles of adverse childhood experiences and unpredictability as risk factors for mental health problems.
匹配采集文档中文标题、摘要、原始来源或文档类型。Prospective validation of imaging and serum diagnostic biomarkers of steatohepatitis and fibrosis in MASLD: the LITMUS Imaging Study
Nature Medicine, Published online: 24 July 2026; doi:10.1038/s41591-026-04496-2 In the LITMUS study, serum biomarkers outperformed imaging for identifying patients at risk of MASH, whereas elastography was superior for staging advanced fibrosis and cirrhosis.
匹配采集文档中文标题、摘要、原始来源或文档类型。Usability and Feasibility of an In-Home Full-Color Imaging Scale for Remote Monitoring of High-Risk Patients With a History of Diabetic Foot Ulcers: Retrospective Observational Formative Evaluation.
JMIR Form Res; PubMed ID 13395260.
匹配采集文档中文标题、摘要、原始来源或文档类型。AWS Weekly Roundup: AWS Builder Center at 1 year, Network Scanning in Security Hub, Loom for AWS, and more (July 13, 2026)
AWS Builder Center turned one year old last week. Launched on July 9, 2025, the platform has grown from a community hub with Wishlist voting, community profiles, and a toolbox into a full ecosystem with sandbox environments, workshops, Spaces, and a Builders’ Library. To mark the anniversary, Rick Suttles published a full feature timeline covering […]
匹配采集文档中文标题、摘要、原始来源或文档类型。Co-expressed microRNAs associated with elevated psychometabolic risk phenotype in women during midlife.
Front Endocrinol (Lausanne); PubMed ID 13337358.
匹配采集文档中文标题、摘要、原始来源或文档类型。Extreme Event Likelihoods with Guided Generative Models
Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events. Estimating the probability of these...
匹配采集文档中文标题、摘要、原始来源或文档类型。Algorithmically driven exposure to online self-harm content and its association with broader psychosocial risk in 32,000 adolescents
Nature Mental Health, Published online: 21 July 2026; doi:10.1038/s44220-026-00682-w Bear et al. examine the prevalence, frequency and pathways of adolescents’ exposure to online self-harm content using 2025 OxWell Student Survey data from 32,102 students aged 11–18 years in England.
匹配采集文档中文标题、摘要、原始来源或文档类型。Safety and alignment in an era of long-horizon models
OpenAI shares lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment.
匹配采集文档中文标题、摘要、原始来源或文档类型。How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization
Rotary Position Embeddings (RoPE) provide transformers with a fixed grid of positional frequencies, yet trained models use these frequencies highly non-uniformly. We study what determines this frequency usage and propose a data-centered explanation: RoPE frequencies are selected to match the relative-distance structure of the training data. Viewing each frequency as a positional lens, we formalize a field-resolution tradeoff and show that, for a data-induced dependency profile of width $W$, the optimal frequency scales as $1/W$. This frequency-matching principle explains controlled observation
匹配采集文档中文标题、摘要、原始来源或文档类型。监管路径
把试验阶段、主要终点、安全性、适应症和监管沟通分开看，不把临床更新等同于疗效结论。
匹配知识节点、相关术语或方法论说明。陪伴依恋风险
关注用户依恋、未成年人、退出机制、数据留存和人机关系边界。
匹配知识节点、相关术语或方法论说明。The case for a cooldown: Why Dependabot now waits before issuing version updates
A new default three-day cooldown delays version update pull requests so maintainers and security researchers can address findings in a release before it gets into your code. The post The case for a cooldown: Why Dependabot now waits before issuing version updates appeared first on The GitHub Blog .
匹配采集文档中文标题、摘要、原始来源或文档类型。Kubernetes Dashboard to Headlamp: A Step-by-Step Guide
1. Before you start: know what is changing Kubernetes Dashboard and Headlamp both show what is running in a cluster, but they work differently. When Headlamp runs on the desktop, it uses your existing kubeconfig to connect to one or more clusters and can be extended with plugins. When Headlamp runs inside a cluster, it uses a Kubernetes ServiceAccount to access the API and follow RBAC rules. Kubernetes Dashboard, in contrast, only runs in-cluster and always relies on service account tokens. Understanding these models early helps you choose the right setup and permissions. 1.1 How Kubernetes Da
匹配采集文档中文标题、摘要、原始来源或文档类型。Operating AI/ML Workloads on Kubernetes: A Headlamp Plugin for Kubeflow
Kubernetes has quietly become the default platform for AI and machine learning. Whether you run notebook servers for data scientists, schedule distributed training jobs, tune hyperparameters, or orchestrate multi-step ML pipelines, those workloads increasingly land on a Kubernetes cluster. Kubeflow is one of the most popular ways to assemble that stack, and it does so the Kubernetes-native way: every capability is exposed as a Custom Resource Definition (CRD). That design is a gift to cluster operators, because it means ML workloads can be observed and managed with the same primitives as every
匹配采集文档中文标题、摘要、原始来源或文档类型。