---
title: "Nature Machine Intelligence 2024 — all accepted papers"
description: "All 178 papers of Nature Machine Intelligence 2024 · page 1 of 2, the most cited first; those with our summary link to it."
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# Nature Machine Intelligence 2024: all accepted papers

178 papers · page 1 of 2 · the most cited first · [← Nature Machine Intelligence 2024](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2024/)

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1. **[Augmenting large language models with chemistry tools ↗](https://doi.org/10.1038/s42256-024-00832-8)**Andres M Bran, Sam Cox, Oliver Tobias Schilter et al.*762 citations*
2. **[Leveraging large language models for predictive chemistry](https://md.research.elamur.ai/free/en/papers/jablonka-2024-leveraging-large-language-models-predictive/)**Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero et al.*367 citations · our summary*
3. **[Foundation model for cancer imaging biomarkers ↗](https://doi.org/10.1038/s42256-024-00807-9)**Suraj Pai, Dennis Bontempi, Ibrahim Hadžić et al.*195 citations*
4. **[Generative AI for designing and validating easily synthesizable and structurally novel antibiotics ↗](https://doi.org/10.1038/s42256-024-00809-7)**Kyle Swanson, Gary Liu, Denise B. Catacutan et al.*184 citations*
5. **[Factuality challenges in the era of large language models and opportunities for fact-checking](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/)**Isabelle Augenstein, Timothy J. Baldwin, Meeyoung Cha et al.*171 citations · our summary*
6. **[Machine learning-aided generative molecular design ↗](https://doi.org/10.1038/s42256-024-00843-5)**Yuanqi Du, Arian R. Jamasb, Jeff Guo et al.*169 citations*
7. **[Equivariant 3D-conditional diffusion model for molecular linker design ↗](https://doi.org/10.1038/s42256-024-00815-9)**Ilia Igashov, Hannes Stärk, Clément Vignac et al.*166 citations*
8. **[LLM-based agentic systems in medicine and healthcare ↗](https://doi.org/10.1038/s42256-024-00944-1)**Jianing Qiu, Kyle Lam, Guohao Li et al.*165 citations*
9. **[State-specific protein–ligand complex structure prediction with a multiscale deep generative model ↗](https://doi.org/10.1038/s42256-024-00792-z)**Zhuoran Qiao, Weili Nie, Arash Vahdat et al.*156 citations*
10. **[Laplace neural operator for solving differential equations ↗](https://doi.org/10.1038/s42256-024-00844-4)**Qianying Cao, Somdatta Goswami, George Em Karniadakis*153 citations*
11. **[A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas ↗](https://doi.org/10.1038/s42256-024-00868-w)**Rui Jiang, Xiaoxu Yin, Pengshuai Yang et al.*146 citations*
12. **[A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions ↗](https://doi.org/10.1038/s42256-024-00823-9)**Yanyi Chu, Dan Yu, Yupeng Li et al.*139 citations*
13. **[Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves ↗](https://doi.org/10.1038/s42256-023-00780-9)**Arvin Tashakori, Zenan Jiang, Amir Servati et al.*135 citations*
14. **[Predicting equilibrium distributions for molecular systems with deep learning ↗](https://doi.org/10.1038/s42256-024-00837-3)**Shuxin Zheng, Jiyan He, Chang Liu et al.*134 citations*
15. **[Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning ↗](https://doi.org/10.1038/s42256-024-00836-4)**Ning Wang, Jiang Bian, Yuchen Li et al.*132 citations*
16. **[Protein function prediction as approximate semantic entailment ↗](https://doi.org/10.1038/s42256-024-00795-w)**Maxat Kulmanov, Francisco J. Guzmán‐Vega, Paula D Duek et al.*124 citations*
17. **[Autonomous 3D positional control of a magnetic microrobot using reinforcement learning ↗](https://doi.org/10.1038/s42256-023-00779-2)**Sarmad Ahmad Abbasi, Awais Ahmed, Seungmin Noh et al.*115 citations*
18. **[The benefits, risks and bounds of personalizing the alignment of large language models to individuals ↗](https://doi.org/10.1038/s42256-024-00820-y)**Hannah Rose Kirk, Bertie Vidgen, Paul Röttger et al.*111 citations*
19. **[Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations ↗](https://doi.org/10.1038/s42256-024-00897-5)**Nick McGreivy, Ammar H. Hakim*109 citations*
20. **[Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data ↗](https://doi.org/10.1038/s42256-024-00847-1)**Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan et al.*106 citations*
21. **[Guidelines for ethical use and acknowledgement of large language models in academic writing ↗](https://doi.org/10.1038/s42256-024-00922-7)**Sebastian Porsdam Mann, Anuraag A Vazirani, Mateo Aboy et al.*105 citations*
22. **[DNA language model GROVER learns sequence context in the human genome ↗](https://doi.org/10.1038/s42256-024-00872-0)**Melissa Sanabria, Jonas Hirsch, Pierre M. Joubert et al.*97 citations*
23. **[Machine learning for micro- and nanorobots ↗](https://doi.org/10.1038/s42256-024-00859-x)**Lidong Yang, Jialin Jiang, Fengtong Ji et al.*97 citations*
24. **[A neural speech decoding framework leveraging deep learning and speech synthesis ↗](https://doi.org/10.1038/s42256-024-00824-8)**Xupeng Chen, Ran Wang, Amirhossein Khalilian-Gourtani et al.*95 citations*
25. **[Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging ↗](https://doi.org/10.1038/s42256-024-00912-9)**Sergios Gatidis, Marcel Früh, Matthias Philipp Fabritius et al.*95 citations*
26. **[PocketFlow is a data-and-knowledge-driven structure-based molecular generative model ↗](https://doi.org/10.1038/s42256-024-00808-8)**Yuanyuan Jiang, Guo Zhang, Jing You et al.*94 citations*
27. **[Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling ↗](https://doi.org/10.1038/s42256-024-00889-5)**Pushpak Pati, Sofia Karkampouna, Francesco Bonollo et al.*87 citations*
28. **[A large-scale audit of dataset licensing and attribution in AI ↗](https://doi.org/10.1038/s42256-024-00878-8)**Shayne Longpre, Robert Mahari, Anthony Chen et al.*86 citations*
29. **[Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework ↗](https://doi.org/10.1038/s42256-023-00776-5)**Yaning Han, Ke Chen, Yunke Wang et al.*86 citations*
30. **[Codon language embeddings provide strong signals for use in protein engineering ↗](https://doi.org/10.1038/s42256-024-00791-0)**Carlos Outeiral, Charlotte Mary Deane*78 citations*
31. **[A causal perspective on dataset bias in machine learning for medical imaging ↗](https://doi.org/10.1038/s42256-024-00797-8)**Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro et al.*77 citations*
32. **[Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV ↗](https://doi.org/10.1038/s42256-023-00778-3)**Aubin Ramon, Montader Ali, Misha Atkinson et al.*74 citations*
33. **[Efficient and scalable reinforcement learning for large-scale network control ↗](https://doi.org/10.1038/s42256-024-00879-7)**Chengdong Ma, Aming Li, Yali Du et al.*74 citations*
34. **[Machine learning for practical quantum error mitigation ↗](https://doi.org/10.1038/s42256-024-00927-2)**Haoran Liao, Derek S. Wang, Iskandar Sitdikov et al.*74 citations*
35. **[Reconciling privacy and accuracy in AI for medical imaging ↗](https://doi.org/10.1038/s42256-024-00858-y)**Alexander Ziller, Tamara T. Mueller, Simon Stieger et al.*74 citations*
36. **[Tandem mass spectrum prediction for small molecules using graph transformers ↗](https://doi.org/10.1038/s42256-024-00816-8)**Adamo Young, Hannes Luc Röst, Bo Wang*73 citations*
37. **[A soft skin with self-decoupled three-axis force-sensing taxels ↗](https://doi.org/10.1038/s42256-024-00904-9)**Youcan Yan, Ahmed Zermane, Jia Pan et al.*70 citations*
38. **[Invalid SMILES are beneficial rather than detrimental to chemical language models ↗](https://doi.org/10.1038/s42256-024-00821-x)**Michael A. Skinnider*65 citations*
39. **[Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models ↗](https://doi.org/10.1038/s42256-024-00861-3)**Lei Han, Qingxu Zhu, Jiapeng Sheng et al.*65 citations*
40. **[Generation of 3D molecules in pockets via a language model ↗](https://doi.org/10.1038/s42256-023-00775-6)**Wei Feng, Lvwei Wang, Zaiyun Lin et al.*64 citations*
41. **[Neural multi-task learning in drug design ↗](https://doi.org/10.1038/s42256-023-00785-4)**Stephan Allenspach, Jan A. Hiss, Gisbert Schneider*64 citations*
42. **[Learning motif-based graphs for drug–drug interaction prediction via local–global self-attention ↗](https://doi.org/10.1038/s42256-024-00888-6)**Yi Zhong, Gaozheng Li, Yang Ji et al.*63 citations*
43. **[Synthetic Lagrangian turbulence by generative diffusion models ↗](https://doi.org/10.1038/s42256-024-00810-0)**T. Li, Luca Biferale, Fabio Bonaccorso et al.*60 citations*
44. **[Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning ↗](https://doi.org/10.1038/s42256-024-00928-1)**Marko Njirjak, Lucija Žužić, Marko Babić et al.*58 citations*
45. **[Evaluating generalizability of artificial intelligence models for molecular datasets ↗](https://doi.org/10.1038/s42256-024-00931-6)**Yasha Ektefaie, Andrew Nathanael Shen, Daria Bykova et al.*57 citations*
46. **[Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions ↗](https://doi.org/10.1038/s42256-024-00855-1)**Dong Chen, Jian Liu, Guo‐Wei Wei*56 citations*
47. **[The dangers of using proprietary LLMs for research ↗](https://doi.org/10.1038/s42256-023-00783-6)**Étienne Ollion, Rubing Shen, Ana Macanovic et al.*56 citations*
48. **[Generic protein–ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling ↗](https://doi.org/10.1038/s42256-024-00849-z)**Duanhua Cao, Geng Chen, Jiaxin Jiang et al.*55 citations*
49. **[Soft robotic shorts improve outdoor walking efficiency in older adults ↗](https://doi.org/10.1038/s42256-024-00894-8)**Enrica Tricomi, Francesco Missiroli, Michele Xiloyannis et al.*55 citations*
50. **[Wing-strain-based flight control of flapping-wing drones through reinforcement learning ↗](https://doi.org/10.1038/s42256-024-00893-9)**Taewi Kim, Insic Hong, Sunghoon Im et al.*54 citations*
51. **[An interpretable RNA foundation model for exploring functional RNA motifs in plants ↗](https://doi.org/10.1038/s42256-024-00946-z)**Haopeng Yu, Heng Yang, Wenqing Sun et al.*51 citations*
52. **[Learning spatiotemporal dynamics with a pretrained generative model ↗](https://doi.org/10.1038/s42256-024-00938-z)**Zeyu Li, Han Wang, Yue Zhang et al.*50 citations*
53. **[A collective AI via lifelong learning and sharing at the edge ↗](https://doi.org/10.1038/s42256-024-00800-2)**Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman et al.*48 citations*
54. **[Contextual feature extraction hierarchies converge in large language models and the brain ↗](https://doi.org/10.1038/s42256-024-00925-4)**Gavin Mischler, Yinghao Aaron Li, Stephan Bickel et al.*48 citations*
55. **[Realistic morphology-preserving generative modelling of the brain ↗](https://doi.org/10.1038/s42256-024-00864-0)**Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Pedro F. da Costa et al.*46 citations*
56. **[On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare ↗](https://doi.org/10.1038/s42256-024-00874-y)**Surbhi Mittal, Kartik Thakral, Richa Singh et al.*45 citations*
57. **[Poisoning medical knowledge using large language models ↗](https://doi.org/10.1038/s42256-024-00899-3)**Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan et al.*45 citations*
58. **[Challenges and opportunities in translating ethical AI principles into practice for children ↗](https://doi.org/10.1038/s42256-024-00805-x)**Ge Wang, Jun Zhao, Max G. Van Kleek et al.*42 citations*
59. **[Does it matter if empathic AI has no empathy? ↗](https://doi.org/10.1038/s42256-024-00841-7)**Garriy Shteynberg, Jodi Halpern, Amir Sadovnik et al.*42 citations*
60. **[Multimodal language and graph learning of adsorption configuration in catalysis ↗](https://doi.org/10.1038/s42256-024-00930-7)**Janghoon Ock, Srivathsan Badrinarayanan, Rishikesh Magar et al.*42 citations*
61. **[Challenges, evaluation and opportunities for open-world learning ↗](https://doi.org/10.1038/s42256-024-00852-4)**Mayank Kejriwal, Eric Kildebeck, Robert J. Steininger et al.*41 citations*
62. **[Learning high-level visual representations from a child’s perspective without strong inductive biases ↗](https://doi.org/10.1038/s42256-024-00802-0)**A. Emin Orhan, Brenden M. Lake*41 citations*
63. **[Leveraging language model for advanced multiproperty molecular optimization via prompt engineering ↗](https://doi.org/10.1038/s42256-024-00916-5)**Zhenxing Wu, Odin Zhang, Xiaorui Wang et al.*41 citations*
64. **[Machine learning for data-centric epidemic forecasting ↗](https://doi.org/10.1038/s42256-024-00895-7)**Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal et al.*41 citations*
65. **[Coordinate-based neural representations for computational adaptive optics in widefield microscopy ↗](https://doi.org/10.1038/s42256-024-00853-3)**Iksung Kang, Qinrong Zhang, Stella X. Yu et al.*40 citations*
66. **[Molecular set representation learning ↗](https://doi.org/10.1038/s42256-024-00856-0)**Maria Boulougouri, Pierre Vandergheynst, Daniel Probst*40 citations*
67. **[A computational framework for neural network-based variational Monte Carlo with Forward Laplacian ↗](https://doi.org/10.1038/s42256-024-00794-x)**Ruichen Li, Haotian Ye, Du Jiang et al.*39 citations*
68. **[Deep learning for predicting rate-induced tipping ↗](https://doi.org/10.1038/s42256-024-00937-0)**Yu Huang, Sebastian Bathiany, Peter Ashwin et al.*39 citations*
69. **[Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models ↗](https://doi.org/10.1038/s42256-024-00851-5)**Evan E. Seitz, David M. McCandlish, Justin B. Kinney et al.*39 citations*
70. **[Blending neural operators and relaxation methods in PDE numerical solvers ↗](https://doi.org/10.1038/s42256-024-00910-x)**Enrui Zhang, Adar Kahana, Alena Kopaničáková et al.*38 citations*
71. **[Sliding-attention transformer neural architecture for predicting T cell receptor–antigen–human leucocyte antigen binding ↗](https://doi.org/10.1038/s42256-024-00901-y)**Ziyan Feng, Jingyang Chen, Youlong Hai et al.*38 citations*
72. **[Delineating the effective use of self-supervised learning in single-cell genomics ↗](https://doi.org/10.1038/s42256-024-00934-3)**Till Richter, Mojtaba Bahrami, Yufan Xia et al.*34 citations*
73. **[Distributed constrained combinatorial optimization leveraging hypergraph neural networks ↗](https://doi.org/10.1038/s42256-024-00833-7)**Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang et al.*34 citations*
74. **[A call for an industry-led initiative to critically assess machine learning for real-world drug discovery ↗](https://doi.org/10.1038/s42256-024-00911-w)**Cas Wognum, Jeremy R. Ash, Matteo Aldeghi et al.*32 citations*
75. **[Efficient generation of protein pockets with PocketGen ↗](https://doi.org/10.1038/s42256-024-00920-9)**Zaixi Zhang, Wan Xiang Shen, Qi Liu et al.*32 citations*
76. **[General-purpose foundation models for increased autonomy in robot-assisted surgery ↗](https://doi.org/10.1038/s42256-024-00917-4)**Samuel Schmidgall, Ji Woong Kim, Alan Kuntz et al.*32 citations*
77. **[Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock ↗](https://doi.org/10.1038/s42256-024-00873-z)**Shihao Feng, Zhen‐Yu Chen, Chengwei Zhang et al.*32 citations*
78. **[Pre-training with fractional denoising to enhance molecular property prediction ↗](https://doi.org/10.1038/s42256-024-00900-z)**Yuyan Ni, Shikun Feng, Xin Hong et al.*32 citations*
79. **[Quantum circuit synthesis with diffusion models ↗](https://doi.org/10.1038/s42256-024-00831-9)**Florian Fürrutter, Gorka Muñoz-Gil, Hans J. Briegel*31 citations*
80. **[Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology ↗](https://doi.org/10.1038/s42256-024-00801-1)**Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar et al.*31 citations*
81. **[Epitope-anchored contrastive transfer learning for paired CD8+ T cell receptor–antigen recognition ↗](https://doi.org/10.1038/s42256-024-00913-8)**Yumeng Zhang, Zhikang Wang, Yunzhe Jiang et al.*30 citations*
82. **[A bioactivity foundation model using pairwise meta-learning ↗](https://doi.org/10.1038/s42256-024-00876-w)**Bin Feng, Zequn Liu, Nan-Lan Huang et al.*29 citations*
83. **[Accurate and robust protein sequence design with CarbonDesign ↗](https://doi.org/10.1038/s42256-024-00838-2)**Milong Ren, Chungong Yu, Dongbo Bu et al.*29 citations*
84. **[Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics ↗](https://doi.org/10.1038/s42256-024-00875-x)**裕文 宗, Yuxin Wang, Xipeng Qiu et al.*27 citations*
85. **[Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion ↗](https://doi.org/10.1038/s42256-024-00860-4)**Osama Abdin, Philip M. Kim*27 citations*
86. **[Federated learning is not a cure-all for data ethics ↗](https://doi.org/10.1038/s42256-024-00813-x)**Marieke Bak, Vince I. Madai, Leo Anthony Celi et al.*27 citations*
87. **[Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research ↗](https://doi.org/10.1038/s42256-024-00926-3)**Artem A. Trotsyuk, Quinn Waeiss, Raina Talwar Bhatia et al.*27 citations*
88. **[Automated construction of cognitive maps with visual predictive coding ↗](https://doi.org/10.1038/s42256-024-00863-1)**James Gornet, Matt W. Thomson*26 citations*
89. **[Weak signal extraction enabled by deep neural network denoising of diffraction data ↗](https://doi.org/10.1038/s42256-024-00790-1)**Jens Oppliger, M. Michael Denner, J. Küspert et al.*26 citations*
90. **[Deeper evaluation of a single-cell foundation model ↗](https://doi.org/10.1038/s42256-024-00949-w)**Rebecca Peyser Boiarsky, Nalini Singh, Alejandro Buendia et al.*24 citations*
91. **[Geometry-enhanced pretraining on interatomic potentials ↗](https://doi.org/10.1038/s42256-024-00818-6)**Taoyong Cui, Chenyu Tang, Mao Su et al.*24 citations*
92. **[Learning integral operators via neural integral equations ↗](https://doi.org/10.1038/s42256-024-00886-8)**Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro et al.*24 citations*
93. **[Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI ↗](https://doi.org/10.1038/s42256-024-00857-z)**Weixin Liang, Nazneen Fatema Rajani, Xinyu Yang et al.*24 citations*
94. **[Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers ↗](https://doi.org/10.1038/s42256-023-00773-8)**Harry Coppock, George Nicholson, Ivan Kiskin et al.*23 citations*
95. **[Maximum diffusion reinforcement learning ↗](https://doi.org/10.1038/s42256-024-00829-3)**Thomas A. Berrueta, Allison Pinosky, Todd D. Murphey*23 citations*
96. **[Stable Cox regression for survival analysis under distribution shifts ↗](https://doi.org/10.1038/s42256-024-00932-5)**Shaohua Fan, Renzhe Xu, Qian Dong et al.*23 citations*
97. **[Development of AI-assisted microscopy frameworks through realistic simulation with pySTED ↗](https://doi.org/10.1038/s42256-024-00903-w)**Anthony Bilodeau, Albert Michaud-Gagnon, Julia Chabbert et al.*22 citations*
98. **[Efficient learning of accurate surrogates for simulations of complex systems ↗](https://doi.org/10.1038/s42256-024-00839-1)**A. Diaw, Michael M. McKerns, Irina Sagert et al.*22 citations*
99. **[Neuromorphic visual scene understanding with resonator networks ↗](https://doi.org/10.1038/s42256-024-00848-0)**Alpha Renner, Lazar Supic, Andreea Danielescu et al.*21 citations*
100. **[A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features ↗](https://doi.org/10.1038/s42256-024-00883-x)**Davide Carnevali, Limei Zhong, Esther González-Almela et al.*20 citations*

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