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Received — 10 September 2026 ⏭ Nature Biomedical Engineering
  • ✇Nature Biomedical Engineering
  • Defining attributes of effective binders for AI-assisted CAR design
    Nature Biomedical Engineering, Published online: 09 September 2026; doi:10.1038/s41551-026-01792-7Generative artificial intelligence (AI) has revolutionized protein engineering and has enabled de novo design of protein binders against dozens of target antigens. Our study combines AI-assisted binder design, binder integration into chimaeric antigen receptor (CAR) constructs and scalable in vitro and in vivo cell models to infer amino acid sequences and protein structures of designed binders that
     
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Defining attributes of effective binders for AI-assisted CAR design

✇Nature Biomedical Engineering
9 September 2026 at 08:00

Nature Biomedical Engineering, Published online: 09 September 2026; doi:10.1038/s41551-026-01792-7

Generative artificial intelligence (AI) has revolutionized protein engineering and has enabled de novo design of protein binders against dozens of target antigens. Our study combines AI-assisted binder design, binder integration into chimaeric antigen receptor (CAR) constructs and scalable in vitro and in vivo cell models to infer amino acid sequences and protein structures of designed binders that might facilitate efficacious CAR T cell therapies.

Sequence and structural determinants of efficacious de novo chimaeric antigen receptors

✇Nature Biomedical Engineering
By: Arthur Chow · Hoyin Chu · Ruofan Li · Benan N. Nalbant · Abdul Vehab Dozic · Laura C. Kida · Zeyu Tang · Joseph R. Palmeri · Caleb A. Lareau
9 September 2026 at 08:00

Nature Biomedical Engineering, Published online: 09 September 2026; doi:10.1038/s41551-026-01790-9

A generative protein design workflow addresses important challenges with de novo protein engineering of chimaeric antigen receptors (CARs) to improve targeting of proteins important in cancer and create more effective CAR T therapies.

Author Correction: A base editor for the long-term restoration of auditory function in mice with recessive profound deafness

✇Nature Biomedical Engineering
By: Chong Cui · Shengyi Wang · Daqi Wang · Jingjing Zhao · Bowei Huang · Biyun Zhu · Yuxin Chen · Honghai Tang · Yu Han · Cheng Ye · Dan Mu · Chengdong Zhang · Yuan Yang · Yihan Bao · Jun Lv · Shuang Han · Geng-Lin Li · Huawei Li · Yilai Shu
7 September 2026 at 08:00

Nature Biomedical Engineering, Published online: 07 September 2026; doi:10.1038/s41551-026-01794-5

Author Correction: A base editor for the long-term restoration of auditory function in mice with recessive profound deafness

Engineering inflammation-responsive proteins through nitric oxide-caged amino acids

✇Nature Biomedical Engineering
By: Wenkang Cai · Junhao Cui · Zhiying Zeng · Zexian Xiang · Yuanzhe Xie · Yeyu Su · Yi Zuo · Yingze Liu · Haoyu Wang · Liying Chang · Xue Wang · Jingjing Wang · Jun-An Ma · Tao Liu
31 August 2026 at 08:00

Nature Biomedical Engineering, Published online: 31 August 2026; doi:10.1038/s41551-026-01782-9

A protein engineering strategy enables nitric oxide-triggered reactivation of proteins using genetically encoded caged amino acids, allowing inflammation-localized control of protein activity, viral gene delivery and biosensing in vivo.

Developmental deviations of association-network structural connectivity in youths with ADHD predict symptom and treatment outcomes

✇Nature Biomedical Engineering
By: Xiaoyu Xu · Zhao Fu · Haoshu Xu · Kangfuxi Zhang · Jing Cong · Hang Yang · Yang Li · Yilu Zhao · Xiangyu Zheng · Arielle S. Keller · Ting Xu · Runsen Chen · Weidong Cai · Qingjiu Cao · Li Yang · Zaixu Cui
31 August 2026 at 08:00

Nature Biomedical Engineering, Published online: 31 August 2026; doi:10.1038/s41551-026-01779-4

This large-scale study of white matter structural connectivity during development reveals biomarkers associated with attention deficit hyperactivity disorder in youth that track symptom trajectories and predict differential treatment response.

Data-centric feedback loops for next-generation immunotherapy development

✇Nature Biomedical Engineering
By: Rotem Shalita · Ido Amit
28 August 2026 at 08:00

Nature Biomedical Engineering, Published online: 28 August 2026; doi:10.1038/s41551-026-01785-6

This Perspective argues that biological discovery and drug development should be linked in a continuous data feedback loop that iteratively refines therapeutic hypotheses, drug design and patient stratification across discovery and clinical stages.
  • ✇Nature Biomedical Engineering
  • Generalizable multiple-instance learning for computational pathology
    Nature Biomedical Engineering, Published online: 26 August 2026; doi:10.1038/s41551-026-01766-9We present a multiple-instance learning framework that aggregates patch-level features into reliable slide-level predictions through the use of random sampling at both patch and feature levels. Our approach enables large-batch optimization and consistent performance gains across 35 clinical tasks and 4 foundation models, and supports principled uncertainty estimation for every slide-level prediction.
     
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Generalizable multiple-instance learning for computational pathology

✇Nature Biomedical Engineering
26 August 2026 at 08:00

Nature Biomedical Engineering, Published online: 26 August 2026; doi:10.1038/s41551-026-01766-9

We present a multiple-instance learning framework that aggregates patch-level features into reliable slide-level predictions through the use of random sampling at both patch and feature levels. Our approach enables large-batch optimization and consistent performance gains across 35 clinical tasks and 4 foundation models, and supports principled uncertainty estimation for every slide-level prediction.

Engineered autophagy receptors administered with extracellular vesicles eliminate pathological Tau and TDP-43

✇Nature Biomedical Engineering
By: Huishan Guo · Alexandre Savard · Charlotte Manser · Kallol Dutta · James A. Taylor · Maxime W. C. Rousseaux · Silvia Pozzi · Jean-Pierre Julien · Stephen Baird · Derrick Gibbings
26 August 2026 at 08:00

Nature Biomedical Engineering, Published online: 26 August 2026; doi:10.1038/s41551-026-01774-9

Autophagy receptors are engineered fusing LC3 to cytoplasm-stable antibody variants and are delivered via small extracellular vesicles or adeno-associated virus to eliminate pathological Tau and TDP-43 in animal disease models.
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