Martha Lillard had just turned 5 when she was diagnosed with polio and depended on an iron lung to live. She died June 26 in Oklahoma, the last U.S. polio patient who used the machine, her sister said. She was 78.
“They told her she wasn’t supposed to live past 20 years old,” Lillard’s younger sister, Cindy McVey, told The Associated Press on Friday. “She had the enthusiasm and the drive to continue living and make the best of her life.”
The study applies ORFeome, a tool that broadens the scale by which researchers study viral proteins. The advance proposes to speed basic discoveries in virology, inform the development of new vaccines and treatments to protect against emerging pathogens.
“This library reveals how viruses manipulate human cells on a scale that simply wasn’t possible before,” said Stephen Elledge, PhD, professor of genetics and medicine at Harvard Medical School and senior author of the study. “We believe it changes virology from studying one virus at a time to discovering the common strategies and surprising innovations that viruses have evolved, providing a powerful new foundation for understanding emerging viral threats.”
ORFeome and other ORF libraries are named after open reading frames, DNA sequences that encode proteins. Previous viral ORF libraries from other groups focused on individual viruses or virus families that contained 100 or 200 sequences each. The new ORFeome contains about 13,000 physical DNA sequences, or constructs, that code for about 9,000 proteins from 513 different viruses, including Andes hantavirus, Ebola virus, and Zika virus.
“Most viruses have never been studied in detail, yet evolution has already performed countless experiments for us. This library gives us a way to read the results of those experiments across the viral world,” said Elledge, who is also a Howard Hughes Medical Institute (HHMI) Investigator.
The team attached a genetic barcode to each ORF, allowing researchers to conduct studies of all 13,000 ORFs at once.
“We can insert the sequences into a population of cells, ask questions like which ones cause the cells to grow better or less, and then identify those by their barcodes when the experiment is finished,” said Colin O’Leary, PhD, HMS research fellow and co-author on the study. “It hasn’t been possible before to do genetic screens like this with viral proteins.”
The team will make the ORFeome freely available for the research community. Elledge and colleagues implemented a flexible design to enable application to other model systems and experiments.
The team conducted genetic screens in three cell types, searching for viral proteins that affect cell proliferation, stop cells from presenting antigens to trigger the immune system to attack, or block the effects of interferon. Results uncovered more than 700 viral proteins that contribute to at least one of those actions.
The study opens opportunities to design drugs that hinder viral activity while sparing normal function.
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Lots happening in London these days, my colleague Andrew Joseph reports: At a pancreatic cancer meeting, researchers were buzzing about the implications of daraxonrasib, and at a major Alzheimer’s meeting, tau therapies are taking center stage.
Back here in the U.S., HHS has begun to craft national guidance on safely tapering SSRIs, and the FDA just cleared Sanofi’s wearable injector for a myeloma drug.
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.
Sperm donors need limits, says a European fertility group
Ties van der Meer doesn’t know how many siblings he has. The 47-year-old was conceived at a private fertility clinic using sperm from an anonymous donor. He eventually tracked down one sibling, but he may have others he’ll never find.
Other donor-conceived people have found they have tens or even hundreds of them. “It does make you feel a bit mass-produced,” said one who discovered they had 25 half-siblings.
In response, a European fertility organization says we need international limits on the number of children a single donor can contribute to.
This story is from The Checkup, our weekly biotech newsletter. Sign up to receive it in your inbox every Thursday.
How will AI understand the real world?
LLMs have transformed what AI can do with language, but helping machines understand and operate within physical spaces presents a different challenge. In response, researchers are developing a new form of artificial intelligence: world models.
At a LinkedIn Live event tomorrow, MIT Technology Review will explore how this technology could shape the future of robotics and open one of AI’s next major frontiers. Join Will Douglas Heaven, our senior editor for AI, and Sam Sinha, founding AI researcher and head of world models at 1X Technologies, for the conversation on Tuesday, July 14.
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Apple has sued OpenAI for allegedly stealing trade secrets OpenAI purportedly stole IP to develop its own consumer hardware. (CNBC) + The suit claims OpenAI poached Apple staff to access the information. (BBC) + And requested trade secrets in job interviews with Apple workers. (Guardian) + Apple also sued two former employees, Chang Liu and Tang Tan. (Reuters $)
2 A Nobel-winning chemist is leaving the US to lead an AI lab in China Omar Yaghi will head an institute using AI to discover new materials. (LA Times $) + He won a Nobel Prize in Chemistry for creating “molecular sponges.” (NYT $) + His departure comes as China tries to woo US scientists. (Nature) + The White House has slashed science spending. (MIT Technology Review)
3 The EU is moving closer to banning children from social media It’s proposed barring under-13s unless supervised by an adult. (NYT $) + And limiting access for older children. (Bloomberg $) + The EU has also told Meta to disable autoplay and infinite scroll. (Politico $)
4 Meta scrapped an AI image feature on Instagram after a backlash It allowed users to generate images based on public accounts. (TechCrunch) + And automatically opted in any Instagram user with a public account. (NYT $) + AI memories are privacy’s next frontier. (MIT Technology Review)
5 Phoebe Gates’ shopping app claimed credit for sales it didn’t drive Phia claimed unearned affiliate sales through fake clicks. (Bloomberg $) + Cofounder Gates is the daughter of Microsoft cofounder Bill. (Engadget)
6 Leaked police drone footage exposes the new reality of surveillance Hours of San Francisco Police video were accidentally released. (Wired $) + Surveillance from drones is on the rise in the US. (MIT Technology Review)
7 Over two-thirds of Americans back a Sanders-style AI ownership plan A poll found strong support for public ownership of AI stock. (Gizmodo) + Tech firms have their own takes on the idea. (MIT Technology Review)
8 AI may soon make campaign text messages more potent—and irritating AI platforms are training bots to sound like political candidates. (NPR)
9 An orbiting disco ball gave Einstein’s theory its most precise test yet It measured Earth’s twisting of space-time more precisely. (Rest of World)
10 Australia’s biggest radio hit may be the product of GenAI Musicians are questioning how the song was made. (Guardian)
Quote of the day
“LOL, I found out I can access the [network storage], so funny.”
—A text message sent by former Apple engineer Chang Liu to a colleague, which a new lawsuit alleges was part of a scheme to steal hardware IP for OpenAI.
One More Thing
Colombian military officials intercepted this 40-foot-long uncrewed fiberglass “narco sub” in the ocean just off Tayrona National Park.
CARLOS PARRA RIOS
How uncrewed narco subs could transform the Colombian drug trade
On a bright April morning in 2025, a surveillance plane operated by the Colombian military spotted a 40-foot-long “narco sub” idling in the Caribbean Sea. The stealthy vessel, used by drug cartels to move cocaine north, could sail with its hull almost entirely underwater.
After seizing the boat, the coast guard noticed something unusual: there was no one on board. This was Colombia’s first confirmed uncrewed narco sub, operable by remote control, but also capable of a degree of autonomous travel.
IntroductionDetecting brain lesions using Artificial Intelligence methods has been a focus of prior research, with numerous datasets supporting this task to improve clinical results. However, evaluation metrics and reported results often summarise overall performance without considering variations in lesion size. In clinical practice, the detection of small tumours is particularly critical for early diagnosis and treatment effectiveness.MethodsThis study evaluates the performance of Artificial Intelligence models on established datasets with a specific focus on lesion identification and lesion size. We introduce a novel Deep Learning model tailored to detect small brain tumours in Magnetic Resonance Imaging, integrating a clinically defined “small tumour” concept into both the training and evaluation processes.ResultsThe proposed approach demonstrates robust performance, achieving loss values ranging from 1.5 to 11.1 and Dice Scores between 96.3% and 98.1% across multiple datasets.DiscussionThe main contribution of this work is the incorporation of clinically meaningful lesion-size information into model development and assessment. These findings suggest that explicitly considering small tumours can improve the clinical relevance of Artificial Intelligence systems for brain lesion detection and support earlier diagnosis and more effective treatment planning.
BackgroundSpinocerebellar ataxia type 17 (SCA17) is an autosomal dominant repeat-expansion disorder with marked phenotypic heterogeneity. Cognitive and neuropsychiatric symptoms may dominate early recognition and initially suggest a primary dementia syndrome. We aimed to illustrate diagnostic redirection in dementia-first SCA17 through integrated clinical, imaging, familial, and molecular assessment.Case presentationWe describe the clinical course, neurological findings, cognitive and functional assessments, ancillary investigations, neuroimaging, pedigree information, and molecular genetic findings of a proband with SCA17 and one tested at-risk adult relative. To contextualize the family, we conducted a focused literature review of genetically confirmed SCA17 case and family reports identified through PubMed, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), and Wanfang up to April 16, 2026.FindingsRepeat-expansion testing established SCA17 in a proband who had initially presented through a dementia-first clinical pathway, with TATA-box binding protein (TBP) alleles of 37/51 repeats. Targeted presymptomatic cascade testing identified the same expanded 51-repeat allele in her asymptomatic adult daughter. Review of 25 published studies showed broad variation in age at onset, TBP repeat size, family context, presenting syndrome, and cumulative phenotype, including cognition-dominant, behavior-dominant, Huntington disease-like, parkinsonian, dystonic, choreic, seizure-associated, and atypical neuroimaging presentations.ConclusionThe present family illustrates a dementia-first route to SCA17 recognition, in which the initial syndrome-based dementia interpretation remained etiologically provisional as cerebellar signs, cerebellar-predominant atrophy, autosomal-dominant family context, and TBP expansion were integrated. This case-based perspective is intended to support etiological reconsideration in selected dementia-first presentations, rather than to serve as validated clinical criteria.
Temporal processing, including duration discrimination, is essential for survival and communication across species. Intellectual disability (ID), which can arise from diverse causes, including mutation in Cereblon (CRBN) gene, impairs duration discrimination. CRBN-related ID is associated with abnormal cognitive behaviors and may disrupt both perceptual and behavioral processes involved in duration discrimination. However, cross-species behavioral strategies, their variation with ID, and the behavioral indices underlying these strategies remain unclear. Here, humans and wild-type (WT) mice with typical intelligence and CRBN knockout (KO) mice with ID, all females across species, performed an auditory duration discrimination task involving 10-s and 2-s cues. All groups successfully distinguished the 10-s and 2-s cues, but their latency-based behavioral strategies diverged. In humans and WT mice, reaction time and latency for both stimuli clustered between 2 and 5 s, whereas in KO mice, they varied depending on the stimulus duration. WT mice and humans consistently delayed their responses by approximately 2 s relative to the 2-s cue length, reflecting response inhibition and alignment between group-level and individual-level responses. In contrast, KO mice exhibited more variable response patterns, consistent with impulsivity and misalignment between group-level and individual-level responses. These findings suggest that CRBN-related ID preserves duration discrimination while altering the behavioral response pattern associated with typical intelligence.
The objective is to report a patient with Gerstmann-Sträussler-Scheinker syndrome caused by a pathogenic PRNP P102L variant harboring an unexpected concomitant pathogenic GRN variant p.R110X and to discuss the potential contribution of combined genetic pathology to the clinical and neuroimaging phenotype confirmed by autopsy. Moreover, we discuss the potential role of TMEM106B as an important modifier of the protein TDP-43 neuropathology associated with the GRN mutation in this case. The patient underwent detailed clinical assessment, serial neuropsychological evaluation, brain MRI, cerebrospinal fluid analysis, whole-exome sequencing, and next generation sequencing. A postmortem neuropathologic examination was performed to confirm the diagnosis. The patient presented slowly progressive paresthesia, cerebellar ataxia, dysarthria, and later cognitive and behavioral changes. Genetic testing revealed a heterozygous PRNP P102L variant and an unpenetrated GRN p.R110X variant; a protective TMEM106B polymorphism associated with TDP-43 pathology was also identified. Neuroimaging demonstrated progressive cerebellar and parietal atrophy with asymmetric left frontal opercular and insular involvement. The clinical course was dominated by a cerebellar GSS phenotype. The patient died 4 years after symptom onset. Neuropathology confirmed GSS, nevertheless without detectable TDP-43-associated neuropathology. This case highlights the diagnostic complexity of rare neurodegenerative disorders and illustrates that pathogenic variants may not influence phenotypic expression. Comprehensive genetic testing should be considered in atypical cases, as certain genetic variants may contribute to phenotypic variability and represent potential modifiers of phenotypic expression.
Animals learn to approach and escape stimuli in their environment, in part through the representation of rewarding or aversive outcomes in the nucleus accumbens (NAc). The regulation of reward motivation in the NAc by dopamine signaling at DRD1 and DRD2 receptors has been the subject of extensive study. However, the process by which aversive stimuli are signaled within this system to promote motivated escape behavior is less well characterized. Conventional wisdom posits that rewarding and aversive stimuli ultimately affect DRD1 or DRD2-receptor expressing medium spiny neurons (MSNs) in an opposing manner to differentially modulate motivated behavior. However, recent studies have challenged this view and demonstrate the need to better characterize the processes that mediate aversion learning. To determine if DRD2 dopamine receptor activation disrupts escape behavior, 21 male and female Sprague Dawley rats were treated with an intra-NAc core DRD2 receptor agonist, quinpirole, while escape behavior was negatively reinforced by the termination of aversive white noise. This treatment attenuated escape, a result that is consistent with the view that aversion-induced reductions in dopamine promote escape behavior through decreased DRD2 receptor signaling in the NAc, and potential disinhibition of an aversion-sensitive striatal output circuit.