<![CDATA[Interim analysis suggests tazbentetol may regrow synapses, improving cognition and schizophrenia symptoms.]]>
The Download: storing nuclear waste and orchestrating agents
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.
It’s time to make a plan for nuclear waste
Today, nuclear energy enjoys rare support across the political spectrum. Public approval has spiked, and Big Tech is throwing money around to meet rising electricity demand. That newfound interest is exactly why it’s time to talk about an old problem: nuclear waste.
In the US, nuclear reactors produce about 2,000 metric tons of high-level waste each year—and there’s nowhere to put it. Now, the need for a permanent storage solution is becoming urgent. Here’s what’s at stake.
—Casey Crownhart
This article is from The Spark, MIT Technology Review’s weekly climate newsletter. Sign up to receive it in your inbox every Wednesday.
Orchestrated agents are coming for white-collar work
When people say AI will transform industries, what they have in mind—whether they know it or not—are AI agents. ChatGPT showed AI can talk. But to change the world, it needs to do stuff.
The real power comes when agents work as teams, coordinating multiple roles to tackle complex tasks. Apps like Codex and Claude Cowork offer a glimpse of this shift, bringing multi-agent general-purpose productivity tools.
In theory, networks of AI agents could do to white-collar knowledge work what assembly lines did to manufacturing. That’s the vision. But as agents move into real-world systems, the risks grow too. Read the full story.
—Will Douglas Heaven
Agent Orchestration is one of the 10 Things That Matter in AI Right Now, MIT Technology Review’s guide to what’s really worth your attention in the busy, buzzy world of AI. We’re unpacking one item from the list each day here in The Download, so stay tuned.
MIT Technology Review Narrated: no one’s sure if synthetic mirror life will kill us all
In February 2019, a group of scientists proposed a high-risk, cutting-edge, irresistibly exciting idea that the National Science Foundation should fund: making “mirror” bacteria.
These lab-created microbes would be organized like ordinary bacteria, but their proteins and sugars would be mirror images of those found in nature. Researchers believed they could reveal new insights into building cells, designing drugs, and even the origins of life.
But now, many of them have reversed course. They’ve become convinced that mirror organisms could trigger a catastrophic event threatening every form of life on Earth. Find out why.
—Stephen Ornes
This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Elon Musk says Sam Altman “stole a charity” at the OpenAI trial
Musk testified for the first time yesterday in the landmark legal showdown. (FT $)
+ He said OpenAI was founded as a non-profit to avoid a “Terminator outcome.” (Wired $)
+ And claimed he came up with the idea for the company. (Reuters $)
+ The trial could upend the global AI race. (MIT Technology Review)
2 The White House has plans to bypass Anthropic’s blacklisting
It’s drafting guidance to sidestep the supply-chain risk designation. (Axios)
+ The White House is also meeting other tech firms to discuss AI risks. (Politico)
+ The Pentagon’s culture war against Anthropic has backfired. (MIT Technology Review)
3 OpenAI is tightening ties with Amazon after retreating from Microsoft
AWS customers are getting extra access to OpenAI systems. (NBC News)
+ While OpenAI gets new users and cloud-computing capabilities. (CNBC)
4 AI bots told scientists how to create biological weapons
And unleash them in public spaces. (NYT $)
+ AI will change war forever. (MIT Technology Review)
5 China has suspended robotaxi licenses after a scary outage
Dozens of Baidu vehicles suddenly stopped last month. (The Verge)
+ Chinese robotaxi firms are planning global expansions. (Guardian)
6 Meta has been found in breach of EU rules on protecting children
After failing to block access to Facebook and Instagram. (Guardian)
+ Parents are forcing schools to roll back classroom tech use. (NYT $)
7 AI is spotting pancreatic cancer years before symptoms appear
A study found it could catch the tumor early enough to treat. (Bloomberg)
8 The Iran war is disrupting data center rollouts
Oaktree-owned Pure DC is the latest firm to pause investments. (CNBC)
9 SpaceX is tying Elon Musk’s pay to Mars colonization goals
It’s set lofty goals for his jaw-dropping compensation. (Reuters $)
10 AI has reconstructed the face of an ancient Pompeii victim
Technology is reshaping our understanding of the distant past (NPR)
Quote of the day
“Overnight, without you even knowing it, your own life chances, the life chances of your children, will be dependent on people continuing to prop up Musk’s visions of how the world should look.”
—Elon Musk biographer Michel Martin tells NPR how the Tesla tycoon is shaping our lives.
One More Thing
NEIL WEBB
Inside Clear’s ambitions to manage your identity beyond the airport
If you’ve ever been through a large US airport, you’re probably aware of Clear, the identity verification service that uses biometric scans to whisk travelers past standard security checks.
Now Clear wants to expand that “face-first” experience from airports to just about everywhere, from retailers and banks to even your doctor’s office. Its CEO has designs on making Clear the “identity layer of the internet” and the “universal identity platform” of the physical world.
All you have to do is show up—and show your face. But as biometric identity systems go mainstream, concerns about privacy, security, and control are becoming harder to ignore. And the cost of convenience may not be shared equally. Discover what’s at stake.
—Eileen Guo
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.)
+ Discover why the eight-hour night is a modern invention.
+ This artist creates masterpieces using only a vintage typewriter and a lot of patience.
+ Test your local knowledge with this game that drops you in a random Street View location.
+ Watch this incredible feat of precision piloting as a race aircraft touches down on a 120km/h cargo train.
Bibliometric analysis of neurite orientation dispersion and density imaging: research patterns, evolution, and frontier
BackgroundNeurite orientation dispersion and density imaging (NODDI), an emerging diffusion MRI technique for estimating the microstructural pathology of brain tissue in vivo, has attracted significant research interest. However, a systematic bibliometric analysis of this field remains unexamined. This study aims to perform a bibliometric analysis of the NODDI literature to explore the current research landscape, identify emerging trends, and provide insights for future investigations.MethodsNODDI-related publications were retrieved from the Web of Science (WOS) and Scopus databases during the period of 2012 to 2025. CiteSpace, VOSviewer, and Bibliometrix R package were used to generate visualization maps.ResultsA total of 679 publications related to NODDI were identified from WOS, including 653 research articles and 26 review papers. 844 relevant publications were retrieved from the Scopus database. After 2012, the number of publications on NODDI increased rapidly. Sweden demonstrated the highest average citation per paper, while the United States contributed the largest number of publications. University College London was the most productive institution. Hui Zhang was identified as the most prolific author, while Alexander DC achieved the highest average citation count. NeuroImage was recognized as the leading journal in terms of publication frequency. Common keywords included “diffusion magnetic resonance imaging,” “NODDI,” “brain,” and “multiple sclerosis.” Recent studies show the research focus is shifting from methodological development to clinical application, especially in the field of neuropsychiatric disorders, and is being integrated with emerging methodologies such as Mendelian randomization.ConclusionsThis bibliometric analysis highlights potential directions for future NODDI-related research. Future studies may focus on optimizing imaging techniques, investigating neuropsychiatric disorders, and integrating advanced methodologies.
Autonomic-vascular dysregulation in CKD-associated hypertension: a narrative review with evidence hierarchy
Hypertension and chronic kidney disease frequently coexist and mutually accelerate cardiovascular and renal injury. This narrative review prioritizes direct human autonomic phenotyping (Level 1: microneurography, HRV/BRS), human vascular correlates (Level 2: PWV, FMD), and complementary preclinical evidence (Level 3) to elucidate autonomic-vascular mechanisms. Autonomic imbalance, characterized by sympathetic overactivity and reduced parasympathetic restraint, represents a key interface between neural control and vascular pathology in this setting. This narrative review synthesizes experimental and clinical evidence on how the autonomic nervous system shapes vascular function in hypertension and CKD. We outline physiological autonomic control of vascular tone (baroreflex pathways, central networks, brain–kidney communication), characteristic autonomic alterations in hypertension (elevated MSNA, impaired HRV/BRS), and their vascular consequences (endothelial dysfunction, arterial stiffness). We emphasize CKD-specific autonomic drivers (renal afferents, uremic toxins, inflammation) and their translation to exaggerated vascular injury and adverse BP phenotypes. Finally, we discuss pharmacological/device-based strategies targeting autonomic–vascular pathways, highlighting opportunities for neuromodulation, biomarker-guided risk stratification, and individualized treatment. By integrating multidisciplinary evidence, this review frames CKD hypertension as amplified autonomic–vascular injury and positions the autonomic nervous system as a promising therapeutic target.
Mechanistic insights from experimental autoimmune encephalomyelitis into immune regulation, autophagy, gut microbiota, blood-brain barrier integrity, and NLRP3 inflammasome-mediated pyroptosis in multiple sclerosis: potential clinical implications
Multiple sclerosis (MS) is a chronic autoimmune disorder characterized by inflammatory demyelination in the central nervous system, predominantly presenting in young adults, with a steadily increasing global incidence. In China, MS is classified as a rare disease and imposes a considerable medical and socioeconomic burden. Current clinical management mainly relies on immunomodulatory and immunosuppressive therapies; however, limitations in long-term efficacy, safety, and economic cost highlight the need for a more comprehensive understanding of disease mechanisms. Experimental autoimmune encephalomyelitis (EAE) is a widely used animal model for investigating the immunopathological basis of MS. Although EAE does not fully replicate the heterogeneity and long-term progression of human MS, it provides an important experimental framework for elucidating specific molecular and cellular pathways involved in disease development. This review synthesizes mechanistic evidence derived from EAE studies, focusing on immune regulation, autophagy modulation, gut microbiota-brain axis interactions, maintenance of blood-brain barrier integrity, and inhibition of NLRP3 inflammasome-mediated pyroptosis. By integrating findings within these defined pathological domains, this work aims to clarify how modulation of these interconnected pathways contributes to the present understanding of MS pathogenesis and to discuss their potential clinical relevance. These findings not only enhance our understanding of MS pathogenesis but also provide a foundation for developing multi-target, synergistic therapeutic strategies.
Serum cystatin C levels are independently correlated with cognitive impairment in individuals with cerebral small vessel disease
Background and purposePrevious studies have shown that serum cystatin C (CysC) is associated with cerebral small vessel disease (CSVD) and that elevated CysC levels are linked to an increased risk of cognitive impairment in the elderly. However, whether CysC is specifically associated with cognitive impairment in patients with CSVD remains unclear.MethodA total of 334 CSVD patients with available demographic, blood biomarker, and brain imaging data were included. Patients were divided into vascular cognitive impairment and normal cognition groups. Univariate analysis was used to compare baseline data, blood biomarkers, imaging features, and behavioral scores between the two groups. Binary logistic regression was used to evaluate the diagnostic value of cystatin C for CSVD-related cognitive impairment.ResultsCompared with the normal cognition group, the VCI group exhibited significantly elevated serum levels of CysC, homocysteine, urea nitrogen, creatinine, uric acid, fibrinogen, and D-dimer, along with a lower red blood cell count. The VCI group also showed a higher prevalence of severe periventricular white matter hyperintensity, severe deep white matter hyperintensity, severe total white matter hyperintensity, and brain atrophy. The combination of these eight blood biomarkers markedly improved the diagnostic performance for VCI (AUC = 0.672, 95% CI: 0.615–0.730, p < 0.001). Multivariate analysis revealed that elevated CysC levels (OR = 2.677, p = 0.041), age (OR = 1.067, p < 0.001), and severe total WMH (OR = 2.713, p < 0.001) were associated with CSVD-related cognitive impairment. After adjusting for confounding variables, serum CysC levels remained independently correlated with cognitive impairment (OR = 3.257, 95% CI: 1.192–8.899, p = 0.021).ConclusionSerum CysC levels are independently associated with cognitive impairment in CSVD patients.
Effects of bifrontal-transcranial direct current stimulation combined with music listening on sleep quality, cortical activation and functional connectivity in patients with insomnia: a randomised controlled trial by fNIRS
BackgroundAlthough music listening and transcranial direct current stimulation (tDCS) alone have certain effects in the treatment of insomnia, the sleep regulatory effects and neural mechanisms of the combined treatment in patients with insomnia disorder (ID) are unclear. This study aimed to investigate the efficacy of combined bifrontal-tDCS (F3: anode, F4: cathode) with music listening in patients with ID using functional near-infrared spectroscopy (fNIRS).Methods76 ID patients were randomly divided into an intervention group (n=38) and a control group (n=38), and received 4 weeks of a total of 20 sessions of music + tDCS therapy and music + sham tDCS therapy (30-second stimulation with fade-in/fade-out to mimic somatic sensations), respectively. The Pittsburgh Sleep Quality Index Scale (PSQI), Self-rating Depression Scale (SDS), Self-rating Anxiety Scale (SAS), and Perceived Stress Scale (PSS-14) were compared between the two groups before and after treatment. Oxy-haemoglobin (HbO2) concentration and functional connectivity (FC) were assessed during the verbal fluency task using fNIRS.ResultsCompared with the control group, the PSQI total score (mean difference: -2.57 points, 95% CI: -4.43 to -0.71, p = 0.001), PSQI sub-scores except “sleep disturbance and daytime dysfunction”, SDS and SAS scores of the intervention group improved significantly after treatment. It was observed by fNIRS that the HbO2 concentration in the medial prefrontal cortex (mPFC), left dorsolateral prefrontal cortex (DLPFC), right ventrolateral prefrontal cortex, and right superior frontal cortex (SFC) increased significantly after treatment in the intervention group but was not superior to the control group. In addition, the FC enhancement of left SFC-left DLPFC and left SFC-mPFC after treatment was significantly better in the intervention group than in the control group, and the PSQI improvement was positively correlated with the FC enhancement of channel-averaged and left SFC-right DLPFC.ConclusionsCombining bifrontal-tDCS with music listening is more helpful in improving sleep quality and prefrontal functional connectivity in ID patients compared with music listening alone. For ID patients, music electrical stimulation headphones may be a safe, effective, and convenient new treatment strategy.Clinical trial registrationhttps://www.chictr.org.cn/, identifier ChiCTR2400086233.
The long-term psychological processing of an autism spectrum disorder diagnosis in parents
IntroductionA child’s ASD diagnosis represents a critical event for parents, often requiring them to face the loss of their child’s ideal image and reevaluate the family life projects. The aim of this study is to explore how parents retrospectively reconstruct and integrate their child’s ASD diagnosis through autobiographical memories.Methods21 parents, 16 mothers and 5 fathers, that received the ASD diagnosis within five years, were administered the Reaction to Diagnosis Interview (RDI). Interviews were audio-recorded, transcribed verbatim and analyzed using a two levels approach. The first one to explore the patterns of meanings that emerged in the whole parents’ autobiographical memories through the Reflexive Thematic Analysis. The second one is to identify patterns of resolution or non-resolution of the impact of the diagnosis.ResultsFindings show suffering and struggling as main themes and subthemes and a prevalence of unresolved diagnoses; gender differences in the way of managing the child-related care tasks, efforts, and coping strategies emerged.DiscussionIn line with literature, our findings suggest that the availability of supportive resources plays a crucial role in facilitating parents’ adjustment and integration of the ASD experience and harmonizing gender differences. They also emphasize that the impact of ASD diagnosis is not a single event but an ongoing process of meaning-making which changes with the child’s developmental path. Our findings highlight the need for cognitive and emotional reconstruction and reframing of parents’ autobiographical memories. These processes play a kay role in shaping how the diagnosis experience is integrated into one’s narrative identity, creating opportunities for transforming the meaning of the remembered experience.
Acupoint temperature as a biomarker: infrared thermography in the diagnosis of adolescents with major depressive disorder
BackgroundThe prevalence of adolescent major depressive disorder (MDD) is rising; however, diagnosis relies on subjective measures due to a lack of objective biomarkers. This study explored infrared thermography (IRT) as a non-invasive tool to quantify thermal radiation characteristics of acupoints in adolescents with MDD. The objective was to establish diagnostic models based on acupoint temperature-derived biomarkers.MethodsA prospective, multi-center observational study enrolled 108 participants (65 adolescents with MDD and 43 healthy controls [HCs]). We first examined correlations between acupoint temperatures and depression severity using Pearson analysis. Multiple linear and binary logistic regression models were developed to diagnose MDD and assess severity. The diagnostic model for MDD was visualized as a nomogram and validated using Receiver Operating Characteristic (ROC) curves, Hosmer-Lemeshow tests, calibration plots, and decision curve analysis (DCA). Internal validation was performed using the bootstrap method.ResultsAmong 27 acupoints analyzed, adolescents with MDD exhibited altered acupoint temperatures at Taiyang (EX-HN5), Quchi (LI11), Yanggu (SI5), and Waiqiu (GB36). Subsequent Pearson correlation analysis revealed negative correlations between the infrared relative temperatures of Taiyang (EX-HN5), Quchi (LI11), and Waiqiu (GB36) and depression severity (P = 0.001, r = -0.319; P = 0.022, r = -0.229; P = 0.001, r = -0.325) and a weak positive correlation between the infrared relative temperature of Yanggu (SI5) and depression severity (P = 0.043, r = 0.202). Building on these findings, two diagnostic models were developed: a linear regression model for depression severity of adolescents (Y = 52.25-9.52*TEX-HN5-13.07*TGB36) and a logistic regression model for adolescents with MDD diagnosis (P = ex/(1+ex), x = 0.22-1.14*TEX-HN5+0.45*TSI5-2.19*TGB36). The nomogram-based model demonstrated good calibration (Hosmer-Lemeshow P = 0.855), discrimination (AUC = 0.785, 95%CI: 0.693 – 0.876), and clinical utility. Internal validation using the bootstrap method produced a C-index of 0.752 (95% CI: 0.617 – 0.877), further confirming the model’s robustness.ConclusionsIn conclusion, acupoint temperature-based models show promising efficacy for the objective and non-invasive diagnosis and severity quantification of adolescents with MDD, offering valuable tools for early clinical intervention. Future studies should validate these findings across diverse populations and integrate multi-modal biomarkers to enhance diagnostic precision.Clinical Trial RegistrationClinicalTrials.gov, identifier NCT06750640.
Stigma in adults with ADHD: a systematic review of types, experiences, and potential implications for quality of life
BackgroundAttention deficit hyperactivity disorder (ADHD) is a disorder characterized by hyperactive, impulsive, and/or inattentive symptoms. Adults with ADHD often report reduced quality of life (QoL) across social, educational, and occupational functioning. Part of these deficits may be attributed to stigma, which includes stereotypes, prejudices, discrimination, and negative labelling. While stigma’s effects on QoL have been extensively documented in other mental health conditions, the specific types and impacts of stigma experienced by adults with ADHD remain underexplored in recent reviews.AimsTo identify and describe the different types of stigmas experienced by adults with ADHD, while exploring how stigma may impact QoL’s key domains as defined by WHO (physical domain, psychological domain, level of independence, social relationships, environment, and spirituality/religion/personal beliefs).MethodsA literature search was conducted across APA PsycArticles, Embase, and Ovid MEDLINE(R) for ADHD AND stigma-related keywords. Eligible studies were English, peer-reviewed articles from the past decade involving adults (≥18) and describing or specifying at least one type of stigma.ResultsA total of 17 papers met the inclusion criteria. Stigma types included self-stigma and/or internalized stigma, perceived stigma, public stigma, and structural stigma. QoL domains affected included the psychological domain, social relationships, environment, and level of independence. Greater ADHD symptomatology was positively correlated with more internalized stigma, which in turn was linked to functional impairment, worse self-esteem, and poorer QoL. Self-stigma manifested as self-deprecating labels and ADHD devaluation. Perceived stigma hindered treatment seeking, medication compliance, and diagnostic disclosure, although associations with QoL were insignificant. Public stigma was the most investigated and related to negative societal attitudes, notably in academic contexts. Few studies looked at structural stigma; those that did identified structural barriers to care, though none directly assessed QoL outcomes.ConclusionStigma remains pervasive, though direct effects on QoL domains are less widely investigated. Future studies should investigate structural stigma in more depth and explore causal relationships between stigma and QoL.Systematic Review Registrationhttps://doi.org/10.17605/OSF.IO/Y52HK