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Predicting bilingual aphasia treatment outcomes using digital twins: a double-blind randomized controlled trial

npj Digital Medicine, Published online: 10 April 2026; doi:10.1038/s41746-026-02583-9

Predicting bilingual aphasia treatment outcomes using digital twins: a double-blind randomized controlled trial

Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems

Background: Deaf individuals often face communication challenges when interacting with those who can hear. Within health care settings, these challenges may pose risks to their safety, potentially resulting in misdiagnoses, treatment errors, and decreased quality of care. Objective: This study aims to systematically review the evidence on communication systems reported in the literature that use human-computer interaction techniques to support communication between deaf individuals who use sign language and hearing health professionals in health care settings. The review focuses on systems that are either currently in use or proposed for use in health care and that have been tested using human participants or videos of human users. Methods: A comprehensive search was performed via MEDLINE, Web of Science, ACM, IEEE Xplore, Scopus, and Google Scholar in March 2025. The inclusion criteria comprised studies developing a sign language recognition system within a health care context and testing with human users. Eligible studies underwent screening by 2 independent investigators (LRV and LMMSR or LFRdO and GTdSS), with any disagreements resolved by a senior researcher (MSM). Results: The search retrieved 21,778 publications, and screening of reference lists identified 2 additional studies, resulting in a total of 23 studies meeting the eligibility criteria. Most systems (15/23, 65.2%) were image-based, while 34.8% (8/23) relied on sensors (glove-based or depth-sensing). Applications varied across health care settings, including general hospital care (10/23, 43.5%), emergencies (8/23, 34.8%), and primary care (4/23, 17.4%). All systems were in the development and testing stage, with no data on security and psychological impacts. Accuracy ranged from 25% to 100% for image-based and 72% to 99.7% for sensor-based systems. Bidirectionality and facial expression recognition, crucial for effective communication, were largely overlooked. Conclusions: Image-based systems were more common than sensor-based ones, though both showed wide variability in accuracy in recognizing and interpreting signs. Most systems failed to address critical aspects such as bidirectional communication and the recognition of facial expressions, essential for effective communication. None fully addresses the requirements for integration into health care settings. These findings highlight the need for further research on implementation, usability, and impact on the quality of care for deaf patients. International Registered Report Identifier (IRRID): RR2-10.2196/55427
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  • STAT+: FDA rejects an industry proposal to deregulate some AI devices Mario Aguilar
    You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday. Good morning health tech readers! Everyone told us the Trump administration was going to deregulate medical AI and let developers do whatever they want. And yet, there are some ideas that go too far, it seems.Continue to STAT+ to read the full story…
     

STAT+: FDA rejects an industry proposal to deregulate some AI devices

9 April 2026 at 22:22

You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday.

Good morning health tech readers!

Everyone told us the Trump administration was going to deregulate medical AI and let developers do whatever they want. And yet, there are some ideas that go too far, it seems.

Continue to STAT+ to read the full story…

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Nonsense-mediated mRNA decay inhibition reshapes the cancer immunopeptidome

Immunity. 2026 Apr 8:S1074-7613(26)00075-0. doi: 10.1016/j.immuni.2026.02.005. Online ahead of print.

ABSTRACT

DNA mutations are a well-characterized source of neoepitopes in immunotherapy. Here, we examined the contribution of dysregulated RNA processing to neoantigen production. Leveraging multi-omics and checkpoint inhibitor (CPI) response data from >1,000 patients, we identified reduced activity of the nonsense-mediated mRNA decay (NMD) pathway kinase SMG1 as a predictor of improved CPI response. NMD inhibition through SMG1 targeting stabilized transcripts containing premature termination codons, most of which were of non-mutational origin. This reshaped the major histocompatibility complex class I (MHC class I)-bound immunopeptidome and increased neoantigen abundance to levels comparable to high mutation burden tumors. Functionally, NMD inhibition drove antigen-dependent T cell-mediated tumor cell killing in vitro, promoted activation of tissue-resident T cells in patient-derived models ex vivo, and improved CPI efficacy in vivo. Our findings establish NMD inhibition as a strategy to harness a previously inaccessible source of canonical and non-canonical neoantigens, with the potential to increase tumor immunogenicity across cancers.

PMID:41956098 | DOI:10.1016/j.immuni.2026.02.005

Protected quantum gates using qubit doublons in dynamical optical lattices

Nature, Published online: 08 April 2026; doi:10.1038/s41586-026-10285-1

A purely geometric two-qubit SWAP gate can be realized by transiently populating qubit doublon states of fermionic atoms in a dynamical optical lattice.

The importance of competition and facilitation for global tree diversity

Nature, Published online: 08 April 2026; doi:10.1038/s41586-026-10349-2

Across 17 forest plots (2.7 million trees, 5,400 species), competition dominated overall, but facilitation was relatively stronger near the equator and declined towards higher latitudes, partly linked to temperature, legumes, mycorrhizal associations and canopy nursing effect.

Single-cell spatiotemporal dissection of the human maternal–fetal interface

Nature, Published online: 08 April 2026; doi:10.1038/s41586-026-10316-x

A single-cell multiomic atlas of the human maternal–fetal interface across pregnancy reveals cell types, states and spatial niches, developmental tissue architectures and transcriptional programmes, and identifies cell types with roles in pre-eclampsia, spontaneous preterm birth and miscarriage.

Multiomics and deep learning dissect regulatory syntax in human development

Nature, Published online: 08 April 2026; doi:10.1038/s41586-026-10326-9

The Human Development Multiomic Atlas catalogues single-cell accessibility and gene expression data from human fetal cells across 12 organs, enabling the inference of syntactic rules for motifs that govern cell-type-specific transcription factor binding and chromatin accessibility during human development.

Satellite imagery reveals increasing volatility in human night-time activity

Nature, Published online: 08 April 2026; doi:10.1038/s41586-026-10260-w

Daily satellite data reveal that Earth’s artificial lights at night are highly volatile, with frequent brightening and dimming between 2014 and 2022.
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