Normal view
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Journal of Medical Internet Research
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Telehealth Delivery of the Homeostasis–Enrichment–Plasticity Approach for Premature Infants With Developmental Risks: Exploratory Feasibility Study
Background: Preterm delivery is an increasing worldwide health concern linked to increased neurodevelopmental risks. Early intervention is crucial for harnessing neuroplasticity to enhance developmental and functional performance outcomes; however, access to early intervention is frequently hindered by logistical, financial, and labor constraints. The Homeostasis–Enrichment–Plasticity (HEP) Approach is a family-centered early intervention model based on enriched environments, designed to improve
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TechCrunch
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Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative
The new model will be used by a small number of high-profile companies to engage in defensive cybersecurity work.
Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative
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Journal of Medical Internet Research
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Social Media Intervention Based on the Information-Motivation-Behavioral Skills Model Promotes HIV Testing and Reduces High-Risk Behaviors Among Men Who Have Sex With Men in Resource-Limited Settings in China: Randomized Controlled Trial
Background: Social media intervention may enhance HIV prevention among men who have sex with men, but the effect of this intervention in resource-limited settings remains unclear. Objective: This randomized controlled trial evaluated whether a social media intervention grounded in the information-motivation-behavioral skills (IMB) model could be beneficial for HIV prevention among men who have sex with men in resource-limited settings. Methods: Participants were recruited in Nanning, China, betw
Social Media Intervention Based on the Information-Motivation-Behavioral Skills Model Promotes HIV Testing and Reduces High-Risk Behaviors Among Men Who Have Sex With Men in Resource-Limited Settings in China: Randomized Controlled Trial
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TechCrunch
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Anthropic ups compute deal with Google and Broadcom amid skyrocketing demand
Anthropic bulked up its compute deal with Google and Broadcom as the company has seen its run-rate revenue surge to $30 billion.
Anthropic ups compute deal with Google and Broadcom amid skyrocketing demand
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MIT Technology Review
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Desalination plants in the Middle East are increasingly vulnerable
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. As the conflict in Iran has escalated, a crucial resource is under fire: the desalination technology that supplies water across much of the region. In early March, Iran’s foreign minister accused the US of attacking a desalination plant on Qeshm Island in the Strait of Hormuz and disrupting the water supply to
Desalination plants in the Middle East are increasingly vulnerable
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here.
As the conflict in Iran has escalated, a crucial resource is under fire: the desalination technology that supplies water across much of the region.
In early March, Iran’s foreign minister accused the US of attacking a desalination plant on Qeshm Island in the Strait of Hormuz and disrupting the water supply to nearly 30 villages. (The US denied responsibility.) In the weeks since, both Bahrain and Kuwait have reported damage to desalination plants and blamed Iran, though Iran also denied responsibility.
In late March, President Donald Trump threatened the destruction of “possibly all desalinization plants” in Iran if the Strait of Hormuz was not reopened. Since then, he’s escalated his threats against Iran, warning of plans to attack other crucial civilian infrastructure like power plants and bridges.
Countries in the Middle East, particularly the Gulf states, rely on the technology to turn salt water into fresh water for farming, industry, and—crucially—drinking. The mounting attacks and threats to date highlight just how vital the industry is to the region—a situation made even more precarious by rising temperatures and extreme weather driven by climate change.
Right now, 83% of the Middle East is under extremely high water stress, says Liz Saccoccia, a water security associate at the World Resources Institute. Future projections suggest that’s going to increase to about 100% by 2050, she adds: “This is a continuing trend, and it’s getting worse, not better.”
Here’s a look at desalination technology in the Middle East and what wartime threats to the critical infrastructure could mean for people in the region.
A vital resource
Desalination technology has helped provide water supplies in the Middle East since the early 20th century and became widespread in the 1960s and 1970s.
There are two major categories of desalination plants. Thermal plants use heat to evaporate water, leaving salt and other impurities behind. The vapor can then be condensed into usable fresh water. The alternative is membrane-based technology like reverse osmosis, which pushes water through membranes that have tiny pores—so small that salt can’t get through.
Early desalination plants in the Middle East were the first type, burning fossil fuels to evaporate water, leaving the salt behind. This technique is incredibly energy-intensive, and over time, processes that rely on filters became the dominant choice.
Membrane technologies have made up essentially all new desalination capacity in recent years; the last major thermal plant built in the Gulf came online in 2018. Many reverse osmosis plants still rely on fossil fuels, but they’re more efficient. Since then, membrane technologies have added more than 15 million cubic meters of daily capacity—enough to supply water to millions of people.
Capacity has expanded quickly in recent years; between 2006 and 2024, countries across the Middle East collectively spent over $50 billion building and upgrading desalination facilities, and nearly that much operating them.
Today, there are nearly 5,000 desalination plants operational across the Middle East.
And looking ahead, growth is continuing. Between 2024 and 2028, daily capacity is expected to grow from about 29 million cubic meters to 41 million cubic meters.
Uneven vulnerabilities
Some countries rely on the technology more than others. Iran, for example, uses desalination for about 3% of its municipal fresh water. The country has access to groundwater and some surface water, including rivers, though these resources are being stretched thin by agriculture and extreme drought.
Other nations in the region, particularly the Gulf countries (Bahrain, Qatar, Kuwait, the United Arab Emirates, Saudi Arabia, and Oman), have much more limited water resources and rely heavily on desalination. Across these six nations, all but the UAE get more than half their drinking water from desalination, and for Bahrain, Qatar, and Kuwait the figure is more than 90%.
“The Gulf countries are much, much more vulnerable to attacks on their desalination plants than Iran is,” says David Michel, a senior associate in the global food and water security program at the Center for Strategic and International Studies.
There are thousands of desalination facilities across the region, so the system wouldn’t collapse if a small number were taken offline, Michel says. However, in recent years there’s been a trend toward larger, more centralized plants.
The average desalination plant is about 10 times larger than it was 15 years ago, according to data from the International Energy Agency. The largest desalination plants today can produce 1 million cubic meters of water daily, enough for hundreds of thousands of people. Taking one or more of these massive facilities offline could have a significant effect on the system, Michel says.
Escalating threats
Desalination facilities are quite linear, meaning there are multiple steps and pieces of equipment that work in sequence—and the failure of a component in that chain can take an entire facility down. Attacks on water inlets, transportation networks, and power supplies can also disrupt the system, Michel says.
During the Gulf War in 1991, Iraqi forces pumped oil into the gulf, contaminating the water and shutting down desalination plants in Kuwait.
The facilities are also generally located close to other targets in this conflict. Desalination is incredibly energy intensive, so about three-quarters of facilities in the region are next to power plants. Trump has repeatedly threatened power plants in Iran. In response, Iran’s military has said that if civilian targets are hit, the country will respond with strikes that are “much more devastating and widespread.” Other governments and organizations, including the United Nations, the European Union, and the Red Cross, have broadly condemned threats to infrastructure as illegal.
But war isn’t the only danger facing these plants, even if it is the most immediate. Some studies have suggested that global warming could strengthen cyclones in the region, and these extreme weather events could force shutdowns or damage equipment.
Water pollution could also cause shutdowns. Oil spills, whether accidental or intentional, as in the case of the Gulf War, can wreak havoc. And in 2009, a red algae bloom closed desalination plants in Oman and the United Arab Emirates for weeks. The algae fouled membranes and blocked the plants from being able to take water in from the Persian Gulf and the Gulf of Oman.
Desalination facilities could become more resilient to threats in the future, and they may need to as their importance continues to grow.
There’s increasing interest in running desalination facilities at least partially on solar power, which could help reduce dependence on the oil that powers most facilities today. The Hassyan seawater desalination project in the UAE, currently under construction, would be the largest reverse osmosis plant in the world to operate solely with renewable energy.
Another way to increase resilience is for countries to build up more strategic water storage to meet demand. Qatar recently issued new policies that aim to improve management and storage of desalinated water, for example. Countries could also work together to invest in shared infrastructure and policies that help strengthen the water supply through the region.
Preparedness, resilience, and cooperation will be key for the Middle East broadly as critical infrastructure, including the water supply, is increasingly under threat.
“The longer the conflict goes on, the more likely we’ll see significant water infrastructure damage,” says Ginger Matchett, an assistant director at the Atlantic Council. “What worries me is that after this war ends, some of the lessons will show how water can be weaponized more strategically than previously imagined.”
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TechCrunch
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The AI gold rush is pulling private wealth into riskier, earlier bets
On a recent episode of Equity, we talked to Arena Private Wealth to explore a growing trend: family offices bypassing VCs to gain direct exposure to AI startups, turning them from passive investors into active participants.
The AI gold rush is pulling private wealth into riskier, earlier bets
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MIT Technology Review

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The Download: AI’s impact on jobs, and data centres in space
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The one piece of data that could actually shed light on your job and AI Within Silicon Valley’s orbit, an AI-fueled jobs apocalypse is spoken about as a given. Now even economists who have downplayed the threat are coming around to the idea. Alex Imas, based at the University of Chicago, is one of them. He believes that any plan to address AI’s imp
The Download: AI’s impact on jobs, and data centres in space
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
The one piece of data that could actually shed light on your job and AI
Within Silicon Valley’s orbit, an AI-fueled jobs apocalypse is spoken about as a given. Now even economists who have downplayed the threat are coming around to the idea.
Alex Imas, based at the University of Chicago, is one of them. He believes that any plan to address AI’s impact will depend on collecting one vital piece of data: price elasticity.
Imas argues that “we need a Manhattan Project” for this. Read the full story to find out why.
—James O’Donnell
This article is from The Algorithm, our weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.
Four things we’d need to put data centers in space
In January, Elon Musk’s SpaceX applied to launch up to 1 million data centers into Earth’s orbit. The goal? To fully unleash the potential of AI—without triggering an environmental crisis on Earth.
SpaceX is among a growing list of tech firms pursuing orbital computing infrastructure. But can their plans really work? Here are four must-haves for making space-based data centers a reality.
—Tereza Pultarova
This story is part of MIT Technology Review Explains, our series untangling the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Trump has again proposed major cuts to US science and tech spending
He wants to slash nearly every science-focused agency. (Ars Technica)
+ If Trump gets his way, the US could face a costly brain drain. (NYT $)
+ Top research talent is already fleeing the country. (Guardian)
+ Basic science deserves our boldest investment. (MIT Technology Review)
2 Sam Altman lobbied against AI regulations he publicly welcomed
A bombshell report reveals many OpenAI insiders don’t trust him. (The New Yorker $)
+ Some have called him a sociopath. (Futurism)
+ OpenAI’s CFO fears it won’t be IPO-ready this year. (The Information $)
+ A war over AI regulation is brewing in the US. (MIT Technology Review)
3 NASA’s Artemis II has broken humanity’s all-time distance record
The astronauts have flown farther than any humans before them. (BBC)
+ Their mission includes MIT-developed technology. (Axios)
4 Chinese tech firms are selling intel “exposing” US forces
It comes from combining AI with open-source data.. (WP $)
+ AI is turning the Iran conflict into theater. (MIT Technology Review)
5 War is pushing countries to ditch hyperscalers
Driven by Iran naming tech giants as military targets. (Rest of World)
+ No one wants a data center in their backyard. (MIT Technology Review)
6 OpenAI, Anthropic, and Google have united against China’s AI copying
They’re sharing information on “adversarial distillation” (Bloomberg $)
7 Anduril and Impulse Space are working on Trump’s “Golden Dome”
They’re developing space-based missile tracking for the project. (Gizmodo)
8 OpenAI has urged California to probe Elon Musk’s “anti-competitive behavior.”
It accuses Musk of trying to “take control of the future of AGI.” (Reuters $)
+ And claims he coordinated attacks with Mark Zuckerberg. (CNBC)
+ A former Tesla president has revealed how he survived working for Musk. (WP $)
9 DeepSeek’s new AI model will run on Huawei chips
It’s expected to launch in the next few weeks. (The Information $)
10 Memes have nuked our culture
Internet “brain rot” has escaped our phones to take over everything. (NYT $)
Quote of the day
“I must say, it was actually quite nice.”
—Astronaut Victor Glover tells President Donald Trump what it was like when Artemis II was out of communication with the rest of humanity, The New York Times reports.
One More Thing

Inside the controversial tree farms powering Apple’s carbon-neutral goal
In 2020, Apple set a goal to become net zero by the end of the decade. To hit that target, the company is offsetting its emissions by planting millions of eucalyptus trees in Brazil.
Apple is betting that the strategy will lead to a greener future. But critics warn that the industrial tree farms will do more harm than good.
Find out why the plans have sparked a backlash.
—Gregory Barber
We can still have nice things
A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)
+ Japan’s automated bike garage is a cyclist’s dream come true.
+ This deep dive into bird behavior reveals the secrets of their dining habits. (Big thanks to reader Terry Gordon for the find!)
+ The first photo from the Artemis astronauts vividly captures the glow of our atmosphere.
+ There’s a new contender for the world’s most gorgeous website: RobertDeNiro.com.
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(Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)
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Iron Physiology and Its Impact on Atopic Diseases: An EAACI Taskforce Report
Allergy. 2026 Apr 6. doi: 10.1111/all.70325. Online ahead of print.ABSTRACTIron is essential for oxygen transport, energy metabolism, and immune regulation. Yet iron deficiency is the most common micronutrient disorder across all age groups, affecting nearly one quarter of the global population. Iron deficiency triggers nutritional immunity, a host defense mechanism that withholds and redistributes iron, contributing to increased morbidity and mortality. This review outlines normal iron physiolo
Iron Physiology and Its Impact on Atopic Diseases: An EAACI Taskforce Report
Allergy. 2026 Apr 6. doi: 10.1111/all.70325. Online ahead of print.
ABSTRACT
Iron is essential for oxygen transport, energy metabolism, and immune regulation. Yet iron deficiency is the most common micronutrient disorder across all age groups, affecting nearly one quarter of the global population. Iron deficiency triggers nutritional immunity, a host defense mechanism that withholds and redistributes iron, contributing to increased morbidity and mortality. This review outlines normal iron physiology, distribution and absorption pathways and on the consequences of deficiency across body compartments, with particular attention to type 2-driven diseases. Beyond anemia, insufficient iron availability disrupts immune homeostasis by promoting type 2 inflammation, elevating IgE, and activating mast cells and eosinophils. Regulatory macrophages, the central hub of iron cycling, adopt an inflammatory, iron-sequestering state that reinforces malabsorption and redistribution. Epidemiology studies show higher iron-deficiency risk in allergic individuals; low maternal iron or early-life iron predisposes to eczema, wheeze, and asthma, while food-allergen elimination (notably cow's milk) further worsens anemia risk. Clinical evidence indicates that restoring iron status through diet, supplementation, or fortification lowers IgE levels, improves lung function, and alleviates symptoms of rhinitis, urticaria, and asthma. Iron may therefore represent a modifiable determinant of allergic disease development and severity. Integrating iron assessment and nutritional care into allergy management may reduce disease burden and slow the progression of allergic march.
PMID:41943501 | DOI:10.1111/all.70325
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cs.AI, q-bio.NC updates on arXiv.org
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Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
arXiv:2604.03286v1 Announce Type: new Abstract: The control of complex laboratory instrumentation often requires significant programming expertise, creating a barrier for researchers lacking computational skills. This work explores the potential of large language models (LLMs), such as ChatGPT, and LLM-based artificial intelligence (AI) agents to enable efficient programming and automation of scientific equipment. Through a case study involving the implementation of a setup that can be used as
Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
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cs.AI, q-bio.NC updates on arXiv.org
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VERT: Reliable LLM Judges for Radiology Report Evaluation
arXiv:2604.03376v1 Announce Type: new Abstract: Current literature on radiology report evaluation has focused primarily on designing LLM-based metrics and fine-tuning small models for chest X-rays. However, it remains unclear whether these approaches are robust when applied to reports from other modalities and anatomies. Which model and prompt configurations are best suited to serve as LLM judges for radiology evaluation? We conduct a thorough correlation analysis between expert and LLM-based r
VERT: Reliable LLM Judges for Radiology Report Evaluation
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cs.AI, q-bio.NC updates on arXiv.org
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BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
arXiv:2604.03506v1 Announce Type: new Abstract: Despite the large corpus of biology training text, the impact of reasoning models on biological research generally lags behind math and coding. In this work, we show that biology questions from current large-scale reasoning datasets do not align well with modern research topic distributions in biology, and that this topic imbalance may negatively affect performance. In addition, we find that methods for extracting challenging and verifiable resear
BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
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cs.AI, q-bio.NC updates on arXiv.org
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A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction
arXiv:2604.03630v1 Announce Type: new Abstract: Spatial transcriptomics (ST) enables gene expression mapping within anatomical context but remains costly and low-throughput. Hematoxylin and eosin (H\&E) staining offers rich morphology yet lacks molecular resolution. We present \textbf{\ours} (\textbf{S}patial \textbf{T}ranscriptomics and hist\textbf{O}logy \textbf{R}epresentation \textbf{M}odel), a foundation model trained on 1.2 million spatially resolved transcriptomic profiles with match
A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction
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cs.AI, q-bio.NC updates on arXiv.org
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SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
arXiv:2604.03964v1 Announce Type: new Abstract: Modern scientific ecosystems are rich in procedural knowledge across repositories, APIs, scripts, notebooks, documentation, databases, and papers, yet much of this knowledge remains fragmented across heterogeneous artifacts that agents cannot readily operationalize. This gap between abundant scientific know-how and usable agent capabilities is a key bottleneck for building effective scientific agents. We present SkillFoundry, a self-evolving frame
SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
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cs.AI, q-bio.NC updates on arXiv.org
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Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting
arXiv:2604.04145v1 Announce Type: new Abstract: Photovoltaic (PV) power forecasting plays a critical role in power system dispatch and market participation. Because PV generation is highly sensitive to weather conditions and cloud motion, accurate forecasting requires effective modeling of complex spatiotemporal dependencies across multiple information sources. Although recent studies have advanced AI-based forecasting methods, most fail to fuse temporal observations, satellite imagery, and tex
Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting
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cs.AI, q-bio.NC updates on arXiv.org
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Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
arXiv:2604.04247v1 Announce Type: new Abstract: Recent advances in prompt learning allow large language model agents to acquire task-relevant knowledge from inference-time context without parameter changes. For example, existing methods (like ACE or GEPA) can learn system prompts to improve accuracy based on previous agent runs. However, these methods primarily focus on single-agent or low-parallelism settings. This fundamentally limits their ability to efficiently learn from a large set of col
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
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cs.AI, q-bio.NC updates on arXiv.org
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Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration
arXiv:2604.04258v1 Announce Type: new Abstract: The quality of AI-generated output is often attributed to prompting technique, but extensive empirical observation suggests that context completeness may be more strongly associated with output quality. This paper introduces Context Engineering, a structured methodology for assembling, declaring, and sequencing the complete informational payload that accompanies a prompt to an AI tool. Context Engineering defines a five-role context package struct
Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration
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cs.AI, q-bio.NC updates on arXiv.org
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InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI
arXiv:2604.04274v1 Announce Type: new Abstract: Causal inference is central to scientific discovery, yet choosing appropriate methods remains challenging because of the complexity of both statistical methodology and real-world data. Inspired by the success of artificial intelligence in accelerating scientific discovery, we introduce InferenceEvolve, an evolutionary framework that uses large language models to discover and iteratively refine causal methods. Across widely used benchmarks, Inferen
InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI
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cs.AI, q-bio.NC updates on arXiv.org
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PanLUNA: An Efficient and Robust Query-Unified Multimodal Model for Edge Biosignal Intelligence
arXiv:2604.04297v1 Announce Type: new Abstract: Physiological foundation models (FMs) have shown promise for biosignal representation learning, yet most remain confined to a single modality such as EEG, ECG, or PPG, largely because paired multimodal datasets are scarce. In this paper, we present PanLUNA, a compact 5.4M-parameter pan-modal FM that jointly processes EEG, ECG, and PPG within a single shared encoder. Extending LUNA's channel-unification module, PanLUNA treats multimodal channels as
PanLUNA: An Efficient and Robust Query-Unified Multimodal Model for Edge Biosignal Intelligence
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cs.AI, q-bio.NC updates on arXiv.org
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Implementing surrogate goals for safer bargaining in LLM-based agents
arXiv:2604.04341v1 Announce Type: new Abstract: Surrogate goals have been proposed as a strategy for reducing risks from bargaining failures. A surrogate goal is goal that a principal can give an AI agent and that deflects any threats against the agent away from what the principal cares about. For example, one might make one's agent care about preventing money from being burned. Then in bargaining interactions, other agents can threaten to burn their money instead of threatening to spending mon
Implementing surrogate goals for safer bargaining in LLM-based agents
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cs.AI, q-bio.NC updates on arXiv.org
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The Topology of Multimodal Fusion: Why Current Architectures Fail at Creative Cognition
arXiv:2604.04465v1 Announce Type: new Abstract: This paper identifies a structural limitation in current multimodal AI architectures that is topological rather than parametric. Contrastive alignment (CLIP), cross-attention fusion (GPT-4V/Gemini), and diffusion-based generation share a common geometric prior -- modal separability -- which we term contact topology. The argument rests on three pillars with philosophy as the generative center. The philosophical pillar reinterprets Wittgenstein's sa