The Download: the tech reshaping IVF and the rise of balcony solar

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.

What’s next for IVF

IVF has brought millions of babies into the world over the last four decades. But the process can still be slow, painful, and expensive—and far from guaranteed to work. Now, a wave of new technologies aims to change that. 

Researchers are using AI to identify promising sperm and embryos, developing robotic systems that could automate parts of the IVF process, and even exploring controversial genetic editing techniques designed to prevent inherited disease.

The technologies could make IVF more effective and accessible. But they’re also raising difficult ethical questions about how far reproductive medicine should go.

Find out what’s next for IVF.

—Jessica Hamzelou

This story is from MIT Technology Review’s What’s Next series, which looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here.

The balcony solar boom is coming to the US

Dozens of US states are considering legislation to allow people to install plug-in solar systems, often called balcony solar. These small arrays require little to no setup and could help cut emissions and power bills.

Proponents say the systems could make solar power more accessible, but some experts caution that there are safety concerns. 

Read the full story on balcony solar’s potentially massive impact in the US.

—Casey Crownhart

This article is from The Spark, our weekly climate newsletter. Sign up to receive it in your inbox every Wednesday.

Resistance: 10 Things That Matter in AI Right Now

Resistance against AI’s proliferation is growing. People from all walks of life are speaking out against rising electricity bills from data centers, disappearing jobs, chatbots’ impact on teen mental health, the military’s use of AI, and copyright infringement—among other concerns. 

People want to have a say in how the technology transforms their future. And they’re starting to create small cracks in AI labs’ vision for the future. Find out how.

—Michelle Kim

Resistance is on our list of the 10 Things That Matter in AI Right Now, MIT Technology Review’s guide to what’s really worth your attention in the buzzy world of AI. 

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 After years of insults, Anthropic and SpaceX have teamed up
Anthropic will tap SpaceX’s GPUs to meet surging demand. (Axios)
+ While SpaceX gets a marquee customer for its AI ambitions. (Wired $)
+ Anthropic says the deal will double Claude Code’s rate limits. (Ars Technica)
+It’s also exploring building compute capacity in space. (CNBC)
+ Musk previously called Anthropic “evil” and “misanthropic.” (Gizmodo)

2 Ex-OpenAI leaders say Sam Altman sowed “chaos” and distrust
Former CTO Mira Murati said she couldn’t trust his words. (The Verge)
+ He also bypassed OpenAI’s safety board before a model release. (Gizmodo)
+ And pitted leaders against one another. (Forbes)
+ But Elon Musk still tried to recruit Altman to lead a Tesla AI lab. (FT $)
+ Here’s why Musk and Altman are in court. (MIT Technology Review)

3 China’s humanoid robots are fueling its next export boom
Morgan Stanley says Beijing has taken an early lead in the sector. (Bloomberg $)
+ Gig workers are training humanoids at home. (MIT Technology Review)

4 SpaceX’s IPO plans will give Elon Musk “virtually unchecked” authority
And erode typical shareholder protections. (Reuters $)
+ Activists and pension funds are pushing back against the IPO. (Wired $)
+ While SpaceX is shifting focus from Falcon 9 to Starship. (Ars Technica)

5 Google DeepMind will use the MMORPG Eve Online for AI model testing
It’s also bought a stake in the game’s maker. (Ars Technica)
+ DeepMind also recently built a new video-game-playing agent. (MIT Technology Review)

6 The US risks isolating its automakers by banning a Chinese EV standard
It’s prohibiting software that’s dominating global EV markets. (Rest of World)

7 Elon Musk’s proposed Texas chip factory could cost $119 billion
It would manufacture chips for Tesla, SpaceX, and xAI. (CNBC)
+ Future AI chips could be built on glass. (MIT Technology Review)

8 Why the “attention-span crisis” is misunderstood
Technology may be exhausting attention rather than shortening it. (Atlantic $)

9 Scientists are getting closer to explaining what causes lightning
New tools are revealing unexpected physics inside thunderstorms. (Quanta)

10 Kids have found an age verification loophole: fake mustaches
Resourceful children are foiling blocks on adult websites. (TechCrunch)

Quote of the day

“My concern was about Sam saying one thing to one person and completely the opposite to another person.”

—Mira Murati, the former CTO of OpenAI, testifies ‌in court that CEO Sam Altman was deceptive, Reuters reports.

One More Thing

ALAMY


A brief, weird history of brainwashing

During the Cold War, the US prepared for a psychic war with the Soviet Union and China by spending millions of dollars on research into manipulating the human brain. 

The science never exactly panned out, but residual beliefs fostered by this bizarre conflict continue to play a role in ideological and scientific debates to this day. And now, new technologies are altering how we think about mind control. 

This is how the race for mind control changed America forever.

—Annalee Newitz

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.)

+ Listen to the 10 bird songs of spring in this lovely compilation of American species.
+ Good Samaritans saved a 29-foot whale that had wandered too far into a river.
+ Explore the intersection of human emotion and machine learning in this look at AI’s influence on art.
+ Break down the walls between streaming services and manage all your digital music in one place with this app.

Noise, air pollution exposure and attention-deficit/hyperactivity disorder: a meta-analysis

ObjectiveThis meta-analysis evaluated the associations between noise exposure, air pollutants, and attention-deficit/hyperactivity disorder (ADHD) in children, aiming to inform future prevention strategies.MethodsStudies were systematically retrieved from CNKI, Wanfang, PubMed, Web of Science, Embase, and the Cochrane Library, covering publications from inception to November 2025. Heterogeneity was assessed using Cochran’s Q test and the I² statistic. Subgroup analyses, meta-regression, and sensitivity analyses were performed to evaluate the robustness of the findings.ResultsNoise exposure was associated with a small increase in ADHD risk (odds ratio [OR] = 1.03, 95% confidence interval [CI]: 1.01–1.05), with stronger associations for childhood exposure, whereas prenatal exposure showed no significant effect. Given the modest effect size, this finding should be interpreted cautiously. Particulate matter (PM2.5 and PM10) was significantly associated with ADHD in continuous-exposure models—PM2.5 (OR = 1.32, 95% CI: 1.16–1.50) and PM10 (OR = 1.47, 95% CI: 1.15–1.87). In dichotomous models, PM2.5 was not significant, while PM10 remained positively associated (OR = 1.58, 95% CI: 1.11–2.26). Elevated nitrogen dioxide (NO2) exposure was also associated with a modest increase in ADHD risk (OR = 1.11, 95% CI: 1.02–1.20), whereas nitrogen oxides (NOx), ozone (O3), and sulfur dioxide (SO2) did not show significant associations.ConclusionsNoise and several air pollutants (PM2.5, PM10, and NO2) were significantly associated with increased ADHD risk, particularly during childhood exposure. Other pollutants, including O3 and SO2, did not demonstrate significant effects. These findings suggest that environmental noise and several air pollutants may be associated with ADHD; however, some observed associations, particularly for noise and NO2, were modest in magnitude and should be interpreted cautiously. These results reflect observational associations rather than evidence of a strong or causal effect, while the evidence for some pollutants remains limited or inconclusive. Further research is needed to clarify pollutant-specific associations and the role of exposure timing.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/view/CRD42024593274, identifier CRD42024593274; https://www.crd.york.ac.uk/PROSPERO/view/CRD42025632899, identifier CRD42025632899.

Top takeaways from a new study of an AI-integrated capsule gastroscopy (ACG) system

Dr. Baoyi Huang, Southern Medical University Upper gastrointestinal abnormalities are one of the more common medical conditions, but there is a huge unmet need in the diagnosis due to a shortage of endoscopists, endoscopy equipment and venues to cater for the entire population. Our study looks into an innovative solution — an AI-integrated capsule gastroscopy…

The post Top takeaways from a new study of an AI-integrated capsule gastroscopy (ACG) system appeared first on Medical Design and Outsourcing.

Microproteins and Peptideins Expand Boundaries of the Human Proteome

A research team led by scientists at the Princess Máxima Center for Pediatric Oncology, the University of Michigan Medical School, EMBL European Bioinformatics Institute, and the Institute for Systems Biology, has uncovered more than 1,700 new proteins that could have implications for human diseases, including cancer.

Mostly very small, these proteins have been discovered in what’s known as the “dark proteome,” which covers gene products from previously overlooked sections of DNA. These proteins have unusual properties, motivating scientists to coin a new concept, peptideins, to help understand their potentially unique biology. Research co-lead Sebastiaan van Heesch, PhD, a group leader at the Princess Máxima Center, commented, “We know that the current overview of recognized proteins doesn’t capture the full picture. With this study, we show that thousands of overlooked genetic sequences contribute to the dark proteome by producing a new class of protein-like molecules, microproteins, that had been missed before now. But for most of them, we don’t yet know what they do.”

Research co-lead and co-corresponding author Robert Moritz, PhD, professor and head of proteomics at the Institute for Systems Biology, further noted, “Biology has long relied on a relatively small cast of well-characterized proteins to explain the regulatory logic of the cell, but peptideins suggest that beneath that familiar layer lies an entire untapped layer of molecular actors whose functional roles in gene regulation, signaling, and cytopersistence, many we are only beginning to imagine. Given their smaller size and the diversity of cellular contexts in which they appear, I believe peptideins may prove to be among the most versatile and consequential regulatory molecules we have yet encountered in human biology. This is not the end of a search—it is the opening of a vast and fertile new territory for the entire scientific community to explore and exploit, and I look forward to seeing what the broader scientific community uncovers as these molecules, and many more that are yet to be confirmed, are brought into the light.”

Research co-lead John Prensner, MD, pediatric neurooncologist at the University of Michigan Medical School, together with Van Heesch and Moritz, are co-senior and co-corresponding authors of the researchers’ published paper in Nature titled “Expanding the human proteome with microproteins and peptideins.” The team is sharing its discoveries with scientists worldwide in an open-source format to stimulate further research.

Van Heesch added, “With growing interest in industry and academia, peptideins are at the center of multiple drug development initiatives. Similarly, we see them increasingly turning up as important players in diseases, including childhood cancers. We hope to inspire a new wave of research into peptideins and to unlock new insights and drug targets across human biology, particularly for the development of cellular immunotherapies and cancer vaccines.”

The study is the work of the TransCODE Consortium, an international collaboration of more than 60 researchers at over 30 institutions worldwide, co-led by the Princess Máxima Center for Pediatric Oncology in the Netherlands, the University of Michigan Medical School, the EMBL European Bioinformatics Institute in Hinxton, and the Institute for Systems Biology in Seattle.

Genes in DNA provide the recipe for cells to produce peptides. Historically, peptides have been called proteins if they are long enough and have existing evidence for a biological role, such as the appearance of the same protein across species in evolution. “Protein-coding genes are the bedrock of biomedical investigations, including the overwhelming majority of drug development programs,” the authors wrote. A large, curated international database of proteins contains some 19,500 entities.

But increasingly, scientists believe the traditional definition of a protein needs to be broadened. “Whether the human genome encodes substantially more than the approximately 19,500 canonical protein-coding genes has sparked a spirited debate in recent years,” the scientist continued. “Therefore, any wholesale addition of protein-coding genes creates ripple effects across human bioscience.”

Through their newly reported study the team looked at more than 7,200 previously understudied sections of the DNA called non-canonical open reading frames (ncORFs). They found that some 25% of these sections—more than 1,700—generated detectable protein-like molecules. These proteins, smaller than traditional proteins, are referred to as “microproteins.”

Generating their results involved looking at 3.7 billion individual bits of raw data that may support known and previously unknown proteins—drawing upon 95,520 experiments. “We show that about 25% of a set of 7,264 ncORFs gives rise to detectable peptides in a large-scale analysis of 95,520 proteomics experiments,” they wrote. The process took around 20,000 hours for computers to complete, working non-stop. They found 1,785 microproteins, a number that at first glance would increase the protein databases by nearly 10%.

Predicted binding between a non-canonical open reading frame (blue) and traditional protein (yellow). [Leron Kok/Princess Máxima Center for pediatric oncology]
Predicted binding between a non-canonical open reading frame (blue) and traditional protein (yellow). [Leron Kok/Princess Máxima Center for Pediatric Oncology]

Moritz further explained, “By deploying our battle-hardened Trans Proteomic Pipeline across nearly 100,000 mass spectrometry experiments encompassing 3.7 billion spectra—derived from the world’s collective publicly available mass spectrometry data, with the results housed within PeptideAtlas at ISB for the scientific community to view and share—we were able to confirm, with high confidence, the existence of more than 1,700 of these newly identified peptideins that would otherwise have largely remained invisible to science.”

But most of these 1,785 microproteins didn’t resemble the other 19,500 traditional proteins. For example, they were very small: 65% were fewer than 50 amino acids in length, compared to less than 1% of the 19,500 previously catalogued. Looking more closely at the microproteins the investigators saw that only a few—perhaps a dozen—resembled the traditional proteins. The team then spent more than a year trying to make sense out of the remaining bulk.

Working with protein experts from across the globe in the TransCODE consortium, the scientists coined a new biological concept, which they coined peptidein. For decades, the research community has had a binary view of the relationship between human DNA and human proteins.  A given piece of DNA either does or does not produce a protein. In their new study, the scientists propose a third choice, which is that DNA could make a protein, a peptidein, or neither.

The team defined a peptidein as existing in cells as a protein-like molecule, meaning that it is made of amino acids, as are proteins. But the role of a peptidein is ambiguous. Perhaps it has a function in normal human biology, or perhaps not; this is the key distinction with traditional proteins, where all are believed to have a function in normal human biology even if the details of that function are not fully known yet. “To advance these ncORFs in biological inquiry, we invoke the emerging umbrella term of peptidein, which we define as an ORF with experimentally confirmed RNA translation and protein synthesis, but for which the data are currently insufficient to claim conventional protein-coding gene status,” the investigators stated in their report.

Importantly, this definition of peptidein leaves the door open for it to become a ‘protein’ in the future—that is, if scientists gather more evidence on it.  To start exploring this idea, the team searched for peptideins without which cells cannot survive. These so-called pan-essential peptideins can be important candidate drug targets in cancer and other diseases.

Using large-scale CRISPR gene editing, the scientists found six peptideins that looked promising. For example, one of these was a peptidein produced from OLMALINC, a genetic sequence previously thought not to produce proteins. When the researchers switched this gene off, 85% of more than 485 cancer cell lines showed impaired survival. The researchers confirmed that this effect comes from the peptidein itself, not the RNA molecule it sits on, and found that it plays a role in cell division and DNA damage response. “Our work here highlights c10riboseqorf92 (in the OLMALINC transcript),” they commented. “… while we do not yet have sufficient evidence that this ncORF encodes a bona fide protein, its CRISPR-based phenotypes in the context of cancer cells are intriguing.”

Many of the newly detected peptideins are presented on cell surfaces for recognition by the immune system, making them potential targets for cancer immunotherapy. A number of such molecules presented to the immune system are already under development as drug targets, and there is growing interest from both academia and industry in exploiting this new class of cancer antigens. Peptideins could also shed light on genetic diseases that conventional gene analysis has been unable to explain, simply because genetic diagnostics were unaware that these molecules were encoded by the human genome.

Members of the consortium had previously uncovered an essential role for a microprotein, ASNSD1-uORF, in children with a high-risk form of the brain cancer, medulloblastoma. Scientists at the Princess Máxima Center are now carrying out further research to determine its role in additional pediatric cancers with the activated MYC oncogene, such as neuroblastoma.

van Heesch commented, “It felt really special to discuss and decide what to do with this new class of molecules, as we had gathered enough early evidence to suspect that they might be widespread across cell types and tissues. By classifying these molecules of unknown functionality as peptideins, we’ve given them a formal place in reference databases so the wider community can study them.”

In their paper the researchers concluded, “The extent of the undiscovered proteome is one of the central questions in human biomedicine. This work reflects the multi-consortium collaboration between the TransCODE Consortium, the HUPO-HPP/PeptideAtlas project, the HIPP immunopeptidomics project and the GENCODE gene annotation group to coalesce a generalizable approach towards understanding which ncORFs can be understood as encoding proteins … Through our efforts, we bring microproteins and alternative protein molecules into reference gene annotation by defining them as either a protein-coding gene or a peptidein, a new concept referring to confirmed protein molecules of indeterminate consequence.”

Prensner added, “We’re just beginning to see what this ‘dark proteome’ has to offer.  It’s like the trailer to a movie. We see the outline of a game-changing view of human biology.  We’re incredibly excited that the coming years will open new doors to help solve and treat human diseases such as cancer.”

Moritz further stated, “Our collaborative work represents a culmination of decades of investment from federal funding agencies in building the computational and data infrastructure needed to interrogate the proteome at truly unprecedented scale at the Institute for Systems Biology … What excites me most is not simply that these molecules exist, but what their existence implies.”

The researchers are making we make all ncORFs, peptides and spectra publicly available through PeptideAtlas.

The post Microproteins and Peptideins Expand Boundaries of the Human Proteome appeared first on GEN – Genetic Engineering and Biotechnology News.

Opportunities and Challenges of Generative AI in Postgraduate Health Professions Education Assessments From Educator and Learner Perspectives: Qualitative Study

Background: The application of artificial intelligence (AI) is increasingly valuable as a tool and assistant in many areas of clinical and academic medicine. Generative AI (GenAI) creates new content used by large language models, which can generate language that strongly resembles or even improves on that of humans. Learners and educators in many areas of education are using GenAI for essays and assessments, raising issues regarding learning and assessment. GenAI is also raising new concerns in health professions education (HPE), an area of health professions training that sometimes has different aims and assessment methods compared to its clinical counterparts. HPE needs to assess levels of knowledge and understanding of pedagogy, and the use of GenAI presents challenges to its current assessments, which are predominantly written. Objective: The study aimed to investigate educators’ and learners’ perspectives on the opportunities and challenges presented by GenAI in postgraduate HPE assessments. It particularly focused on perspectives of how GenAI may influence the future of assessment and essay-based assessments in HPE. Methods: Informed by a constructivist paradigm, a qualitative approach was adopted, undertaking 8 semistructured interviews conducted via Microsoft Teams. Purposive sampling ensured a mixture of educators and learners in current HPE courses from a range of health care professions. Data were thematically analyzed. Results: There was no difference between educator and learner perspectives. Four themes were identified: AI is here, students are at a disservice if we do not embrace it; AI as an opportunity to rethink HPE assessments; AI is a “gray area”; and AI is fallible. Conclusions: The findings present AI as an external catalyst, highlighting the current internal desire for assessment change within HPE. It offers opportunities for creative, authentic assessments that reflect real-life academic and clinical practice, aiming to develop competent future HPE educators and keep courses relevant. These findings contribute to the debate around the future potential and development of AI in HPE assessments.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/0c77d2e8765c4b20533fdb19cba1beac" />