Automating drug discovery

Cited by (920)

Items 201–300 of 920

1. Unsupervised Learning in Drug Design from Self-Organization to Deep Chemistry
   Jarosław Polański · 2022 · International Journal of Molecular Sciences
2. Accelerated drug discovery by rapid candidate drug identification
   Fredrik Bergström, Bo Lindmark · 2019 · Drug Discovery Today
3. Closing the Loop: Developing an Integrated Design, Make, and Test Platform for Discovery
   David M. Parry · 2019 · ACS Medicinal Chemistry Letters
4. Review Article: Spectroscopic microreactors for heterogeneous catalysis
   Benjamin A. Rizkin, Filip Popovic, Ryan L. Hartman · 2019 · Journal of Vacuum Science & Technology A Vacuum Surfaces and Films
5. DBPP-Predictor: a novel strategy for prediction of chemical drug-likeness based on property profiles
   Yaxin Gu, Yimeng Wang, Keyun Zhu, Weihua Li, Guixia Liu, Yun Tang · 2024 · Journal of Cheminformatics
6. AEcroscopy: A Software–Hardware Framework Empowering Microscopy Toward Automated and Autonomous Experimentation
   Yongtao Liu, Kevin M. Roccapriore, Martí Checa, Sai Mani Prudhvi Valleti, Jan‐Chi Yang, Stephen Jesse, Rama Krishnan Vasudevan · 2024 · Small Methods
7. The Convergence of Artificial Intelligence and Chemistry for Improved Drug Discovery
   Clive P. Green, Ola Engkvist, Garry Pairaudeau · 2018 · Future Medicinal Chemistry
8. Rationally Designed Anti-CRISPR Nucleic Acid Inhibitors of CRISPR-Cas9
   Christopher L. Barkau, Daniel O’Reilly, Kushal J. Rohilla, Masad José Damha, Keith T. Gagnon · 2019 · Nucleic Acid Therapeutics
9. Puddle
   Max Willsey, Ashley P. Stephenson, Chris Takahashi, Pranav Vaid, Bichlien H. Nguyen, Michal Piszczek, Christine Betts, Sharon S. Newman, Sarang Joshi, Karin Strauß et al. · 2019 · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
10. Transferable MP2-Based Machine Learning for Accurate Coupled-Cluster Energies
    Jacob Townsend, Konstantinos D. Vogiatzis · 2020 · Journal of Chemical Theory and Computation
11. Accelerated screening of colloidal nanocrystals using artificial neural network-assisted autonomous flow reactor technology
    Ajit Vikram, Ken Brudnak, Arwa Zahid, Moonsub Shim, Paul J. A. Kenis · 2021 · Nanoscale
12. Cancer diagnosis using artificial intelligence: a review
    K. Aditya Shastry, H. A. Sanjay · 2021 · Artificial Intelligence Review
13. Enabling Deoxygenative C(sp2)-C(sp3) Cross-Coupling for Parallel Medicinal Chemistry
    Wei Liu, James J. Mulhearn, Bo Nan Hao, Santiago Cañellas, Stefaan Last, José Enrique Gómez, Alexander X. Jones, Alexander De Vera, Kiran Kumar. V, Raquel Rodríguez et al. · 2023 · ACS Medicinal Chemistry Letters
14. Artificial intelligence-powered discovery of small molecules inhibiting CTLA-4 in cancer
    Navid Sobhani, Dana Rae Tardiel-Cyril, Dafei Chai, Daniele Generali, Jianrong Li, Jonathan Vazquez‐Perez, Jing Ming Lim, Rachel M. Morris, Zaniqua N. Bullock, Aram Davtyan et al. · 2024 · BJC Reports
15. Pre-training with fractional denoising to enhance molecular property prediction
    Yuyan Ni, Shikun Feng, Xin Hong, Yuancheng Sun, Wei‐Ying Ma, Zhi-Ming Ma, Qiwei Ye, Yanyan Lan · 2024 · Nature Machine Intelligence
16. Accurate and transferable drug–target interaction prediction with DrugLAMP
    Zhengchao Luo, Wei Wu, Qichen Sun, Jinzhuo Wang · 2024 · Bioinformatics
17. Artificial Intelligence (AI) in Pharmaceutical Formulation and Dosage Calculations
    Sameer Joshi, Sandeep Sheth · 2025 · Pharmaceutics
18. An Overview of Computational Methods, Tools, Servers, and Databases for Drug Repurposing
    Sailu Sarvagalla, Safiulla Basha Syed, Mohane Selvaraj Coumar · 2019 · Elsevier eBooks
19. Microfluidic chip and its application in autophagy detection
    Xiaobo Wang, Zixuan Liu, Fangfang Fan, Ya Hou, Hailing Yang, Xianli Meng, Yi Zhang, Fugang Ren · 2019 · TrAC Trends in Analytical Chemistry
20. Sticker Microfluidics: A Method for Fabrication of Customized Monolithic Microfluidics
    Xiaochen Lai, Bingyu Lu, Penghao Zhang, Xingguo Zhang, Zhihua Pu, Haixia Yu, Dachao Li · 2019 · ACS Biomaterials Science & Engineering
21. Anti‐CRISPR proteins targeting the CRISPR‐Cas system enrich the toolkit for genetic engineering
    Qiong Liu, Hongxia Zhang, Xiaotian Huang · 2019 · FEBS Journal
22. A microfluidic rectifier for Newtonian fluids using asymmetric converging–diverging microchannels
    Ran Tao, Tiniao Ng, Yan Ling Su, Zhigang Li · 2020 · Physics of Fluids
23. Acupuncture inhibits NLRP3 inflammasome activation in the prefrontal cortex of a chronic stress rat model of depression
    Xiaoyan Li, Hongmei Wang, Chen Li, Jihong Wu, Jun Lü, Jian‐You Guo, Ya Tu · 2021 · The Anatomical Record
24. Design of SARS-CoV-2 Main Protease Inhibitors Using Artificial Intelligence and Molecular Dynamic Simulations
    Lars Elend, Luise Jacobsen, Tim Cofala, Jonas Prellberg, Thomas Teusch, Oliver Krämer, Ilia A. Solov’yov · 2022 · Molecules
25. Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys
    Tonghui Wang, Ruipeng Li, Hossein Ardekani, Lucía Serrano‐Luján, Jiantao Wang, Mahdi Ramezani, Ryan L. Wilmington, Mihirsinh Chauhan, Robert W. Epps, Kasra Darabi et al. · 2023 · Matter
26. Representing high throughput expression profiles via perturbation barcodes reveals compound targets
    Filzen, Tracey M., Kutchukian, Peter S., Hermes, Jeffrey D., Li, Jing, Tudor, Matthew · 2017 · PLOS Computational Biology
27. The dominant logic of Big Tech in healthcare and pharma.
    Alexander Schuhmacher, Naomi Haefner, Katharina Honsberg, J. Goldhahn, O. Gassmann · 2022 · Drug Discovery Today
28. ADMET property prediction via multi-task graph learning under adaptive auxiliary task selection
    Bing-Xue Du, Yi Xu, Siu‐Ming Yiu, Hui Yu, Jian‐Yu Shi · 2023 · iScience
29. A Semi‐Automated, High‐Throughput Approach for the Synthesis and Identification of Highly Photo‐Cytotoxic Iridium Complexes
    Timothy Kench, Arielle Rahardjo, Gianmarco Terrones, B. Adinarayana, Thomas E. Maher, Marko Storch, Heather J. Kulik, Ramón Vilar · 2024 · Angewandte Chemie International Edition
30. Deep learning for enantioselectivity predictions in catalytic asymmetric β-C–H bond activation reactions
    Ajnabiul Hoque, Raghavan B. Sunoj · 2022 · Digital Discovery
31. Towards a modular architecture for science factories
    Rafael Vescovi, Tobias S. Ginsburg, Kyle Hippe, Doga Ozgulbas, Casey Stone, Abraham Stroka, Rory Butler, Ben J. Blaiszik, Tom Brettin, Kyle Chard et al. · 2023 · Digital Discovery
32. Artificial Intelligence Techniques for the effective diagnosis of Alzheimer’s Disease: A Review
    K. Aditya Shastry, H. A. Sanjay · 2023 · Multimedia Tools and Applications
33. Unveiling Dynamic Hotspots in Protein–Ligand Binding: Accelerating Target and Drug Discovery Approaches
    Alfonso Trezza, Anna Visibelli, Bianca Roncaglia, Roberta Barletta, Stefania Iannielli, Linta Mahboob, Ottavia Spiga, Annalisa Santucci · 2025 · International Journal of Molecular Sciences
34. Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays
    Ilya Yakavets, Sina Kheiri, Jennifer Cruickshank, Riley J. Hickman, Faeze Rakhshani, Matteo Aldeghi, Ella Miray Rajaonson, Edmond W. K. Young, Alán Aspuru‐Guzik, David W. Cescon et al. · 2025 · Science Advances
35. Microfluidics contribution to pharmaceutical sciences: From drug discovery to post marketing product management
    Gwenaël Nys, Marianne Fillet · 2018 · Journal of Pharmaceutical and Biomedical Analysis
36. Advances in the discovery and development of anthelmintics by harnessing natural product scaffolds
    H.M.P. Dilrukshi Herath, Aya C. Taki, Brad E. Sleebs, Andreas Hofmann, Nghi H. Nguyen, Sarah Preston, Rohan A. Davis, Abdul Jabbar, Robin B. Gasser · 2021 · Advances in Parasitology/Advances in parasitology
37. Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence
    José Teófilo Moreira‐Filho, Arthur C. Silva, Rafael Ferreira Dantas, Bárbara Figueira Gomes, Lauro Ribeiro Souza Neto, J. Brandão-Neto, Raymond J. Owens, Nicholas Furnham, Bruno J. Neves, Floriano Paes Silva et al. · 2021 · Frontiers in Immunology
38. Automated De Novo Drug Design: Are We Nearly There Yet?
    Gisbert Schneider, David E. Clark · 2019 · Angewandte Chemie
39. Machine Learning Guided Discovery of Non‐Hemolytic Membrane Disruptive Anticancer Peptides
    Elena Zakharova, Markus Orsi, Alice Capecchi, Jean‐Louis Reymond · 2022 · ChemMedChem
40. Therapeutic Potential of Bioactive Flavonoids from Citrus Fruit Peels toward Obesity and Diabetes Mellitus
    Kaihui Lu, Yew Mun Yip · 2023 · Future Pharmacology
41. Machine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends
    Karel Diéguez‐Santana, Humberto González‐Díaz · 2023 · Computers in Biology and Medicine
42. Explaining the dynamics of tumor aggressiveness: At the crossroads between biology, artificial intelligence and complex systems
    Caterina A. M. La Porta, Stefano Zapperi · 2018 · Seminars in Cancer Biology
43. A droplet robotic system enabled by electret-induced polarization on droplet
    Ruotong Zhang, Chengzhi Zhang, Xiaoxue Fan, Christina C. K. Au Yeung, Huiyanchen Li, Haisong Lin, Ho Cheung Shum · 2024 · Nature Communications
44. Recruiting machine learning methods for molecular simulations of proteins
    S. Mittal, D. Shukla · 2018 · Molecular Simulation
45. Novel therapeutic strategy for cancer and autoimmune conditions: Modulating cell metabolism and redox capacity
    Xing‐Xing Fan, Hudan Pan, Ying Li, Ruijin Guo, Elaine Lai‐Han Leung, Liang Liu · 2018 · Pharmacology & Therapeutics
46. Context Aware Data-Driven Retrosynthetic Analysis
    Christos A. Nicolaou, Ian A. Watson, Mark LeMasters, Thierry Masquelin, Ji‐Bo Wang · 2020 · Journal of Chemical Information and Modeling
47. Understanding Drug Repurposing From the Perspective of Biomedical Entities and Their Evolution: Bibliographic Research Using Aspirin
    Xin Li, Justin F. Rousseau, Ying Ding, Min Song, Wei Lu · 2020 · JMIR Medical Informatics
48. Recent Developments in Positron Emission Tomography Tracers for Proteinopathies Imaging in Dementia
    Ruiqing Ni, Roger M. Nitsch · 2022 · Frontiers in Aging Neuroscience
49. The emergence of entrepreneurial ecosystems based on enabling technologies: Evidence from synthetic biology
    Petra A. Nylund, Xavier Ferràs, Luis Pareras, Alexander Brem · 2022 · Journal of Business Research
50. Integrated and automated high-throughput purification of libraries on microscale
    Carol Ginsburg‐Moraff, Jonathan E. Grob, Karl Chin, Grant Eastman, Sandra Wildhaber, Mark Bayliss, Heinrich Mues, Marco Palmieri, Jennifer Poirier, Marcel Reck et al. · 2022 · SLAS TECHNOLOGY
51. 3D Acoustofluidics via Sub‐Wavelength Micro‐Resonators
    William S. Harley, Kirill Kolesnik, Mingxin Xu, Daniel E. Heath, David J. Collins · 2022 · Advanced Functional Materials
52. Customizable Colorimetric Sensor Array via a High-Throughput Robot for Mitigation of Humidity Interference in Gas Sensing
    Zhehong Ai, Longhan Zhang, Yangguan Chen, Yu Meng, Yifan Long, Julin Xiao, Yaowen Yang, Wei Guo, Yueming Wang, Jing Jiang · 2024 · ACS Sensors
53. dockECR: Open consensus docking and ranking protocol for virtual screening of small molecules
    Rodrigo Ochoa, Karen Palacio‐Rodríguez, Camila Mara Clemente, Natalia S. Adler · 2021 · Journal of Molecular Graphics and Modelling
54. Advancing automation in high-throughput screening: Modular unguarded systems enable adaptable drug discovery
    Catherine S. Hansel, Darren Plant, Geoffrey A. Holdgate, Matthew J. Collier, Helen Plant · 2022 · Drug Discovery Today
55. MicroCycle: An Integrated and Automated Platform to Accelerate Drug Discovery
    Cara E. Brocklehurst, Eva Altmann, Corentin Bon, Holly J. Davis, David Dunstan, Peter Ertl, Carol Ginsburg‐Moraff, Jonathan E. Grob, Daniel J. Gosling, Guillaume Lapointe et al. · 2024 · Journal of Medicinal Chemistry
56. Current Updates of CRISPR/Cas System and Anti-CRISPR Proteins: Innovative Applications to Improve the Genome Editing Strategies
    Khaled S. Allemailem, Ahmad Almatroudi, Faris Alrumaihi, Arwa Essa Alradhi, Abdulrahman Theyab, Mohammad Algahtani, Mohmmed Alhawas, Gasim Dobie, Amira A. Moawad, Arshad Husain Rahmani et al. · 2024 · International Journal of Nanomedicine
57. Solvent Sustainability in Drug Discovery: Where Are We Now, and How Can We Improve?
    Paul Richardson, Marian C. Bryan, Louis J. Diorazio, Fabrice Gallou, Shazia B. Keily, Isamir Martínez, Scott Plummer, Anthony B. Reed, Robert J. Sheppard, Jason D. Shields et al. · 2025 · Journal of Medicinal Chemistry
58. Machine learning for drug-target interaction prediction: A comprehensive review of models, challenges, and computational strategies
    Bilal Ahmad, Khmaies Ouahada, Habib Hamam · 2026 · Computational and Structural Biotechnology Journal
59. Best practices for artificial intelligence in life sciences research
    Vladimir A. Makarov, Terry Richard Stouch, Brandon Allgood, Chris D. Willis, Nick Lynch · 2021 · Drug Discovery Today
60. Advances in application and innovation of microfluidic platforms for pharmaceutical analysis
    Lijuan Ma, Nan Li, Jing Wang, Chaofu Ma, Xiaoyan Hu, Mingshuang Li, Zhisheng Wu · 2023 · TrAC Trends in Analytical Chemistry
61. Multistep automated synthesis of pharmaceuticals
    Wang Gan, Hwee Ting Ang, Srinivas Reddy Dubbaka, Patrick O’Neill, Jie Wu · 2023 · Trends in Chemistry
62. Recent progress in cancer therapy based on the combination of ferroptosis with photodynamic therapy
    Zeping Gao, Shunzhe Zheng, Ken‐ichiro Kamei, Chutong Tian · 2022 · Acta Materia Medica
63. Revolutionizing adjuvant development: harnessing AI for next-generation cancer vaccines
    Wanying Zhang, Xiaoli Zheng, Paolo Saul Coghi, Jun-Hui Chen, Bing-Jun Dong, Xing‐Xing Fan · 2024 · Frontiers in Immunology
64. Improving SVM Classification Performance on Unbalanced Student Graduation Time Data Using SMOTE
    Anthony Anggrawan, Hairani Hairani, Christofer Satria · 2023 · International Journal of Information and Education Technology
65. Next-generation intelligent laboratories for materials design and manufacturing
    Xiting Peng, Xiaonan Wang · 2023 · MRS Bulletin
66. Emerging opportunities of using large language models for translation between drug molecules and indications
    David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawała, Yanshan Wang · 2024 · Scientific Reports
67. Deep Bayesian active learning using in-memory computing hardware
    Yudeng Lin, Bin Gao, Jianshi Tang, Qingtian Zhang, He Qian, Huaqiang Wu · 2024 · Nature Computational Science
68. Application of artificial intelligence in bioprospecting for natural products for biopharmaceutical purposes
    Victor Uchenna Chigozie, Chidozie Godwin Ugochukwu, Kingsley Otubo Igboji, Festus Basden Okoye · 2025 · BMC Artificial Intelligence
69. Translational bioinformatics methods for drug discovery and drug repurposing
    Salim Ahmad, Sahar Qazi, Khalid Raza · 2021 · Elsevier eBooks
70. Ethical Artificial Intelligence in Chemical Research and Development: A Dual Advantage for Sustainability
    Erik Hermann, G. Hermann, Jean-Christophe Tremblay · 2021 · Science and Engineering Ethics
71. Droplet transportation by adjusting the temporal phase shift of surface acoustic waves in the exciter–exciter mode
    Mingyang Sui, Huijuan Dong, Guanyu Mu, Jingze Xia, Jie Zhao, Zhen Yang, Tianlong Li, Tong Sheng Sun, K. T. V. Grattan · 2022 · Lab on a Chip
72. LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening
    Yang Wang, Zuxian Zhang, Chenghong Piao, Ying Ping Huang, Yihan Zhang, Chi Zhang, Yu‐Jing Lu, Dongning Liu · 2023 · Health Information Science and Systems
73. Microfluidics enhanced biosensor technology for advancing food safety monitoring
    Guangfu Wu, Huijie Li, Jialong Chen, King Wai Chiu Lai, Lize Xiong, Runhuai Yang · 2024 · Trends in Food Science & Technology
74. Artificial Intelligence in Toxicology and Pharmacology
    Siddhesh Prabhu Nasnodkar, Burak Çınar, Stephanie Ness · 2023 · Journal of Engineering Research and Reports
75. Evaluation of a Microreactor for Flow Biocatalysis by Combined Theory and Experiment
    Teresa Burgahn, Philip Pietrek, Roland Dittmeyer, Kersten S. Rabe, Christof M. Niemeyer · 2020 · ChemCatChem
76. Artificial intelligence in research and development for sustainability: the centrality of explicability and research data management
    Erik Hermann, Gunter Hermann · 2021 · AI and Ethics
77. Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
    Tysinger, Emma P., Rai, Brajesh K., Sinitskiy, Anton V. · 2023 · Journal of Chemical Information and Modeling
78. Artificial intelligence in molecular de novo design: Integration with experiment
    Jon Paul Janet, Lewis Mervin, Ola Engkvist · 2023 · Current Opinion in Structural Biology
79. Artificial Intelligence for Computer-Aided Synthesis In Flow: Analysis and Selection of Reaction Components
    Pieter P. Plehiers, Connor W. Coley, Hanyu Gao, Florence H. Vermeire, Maarten R. Dobbelaere, Christian Victor Stevens, Kevin M. Van Geem, William H. Green · 2020 · Frontiers in Chemical Engineering
80. A New Era of Artificial Intelligence (AI): Transforming Drug Discovery and Development
    Saghir Ali, Xiaochen Tian, Haiying Chen, Jia Zhou · 2025 · Journal of Medicinal Chemistry
81. Electrochemical C−O and C−N Arylation using Alternating Polarity in flow for Compound Libraries
    Jennifer Morvan, Koen P. L. Kuijpers, Dayne D. Fanfair, Bingqing Tang, Karolina Bartkowiak, Lars Van Eynde, Evelien Renders, Jesús Alcázar, Peter J. J. A. Buijnsters, Mary-Ambre Carvalho et al. · 2024 · Angewandte Chemie International Edition
82. Pharm-lab-on-a-chip: advancements in pharmaceutical and pharmacological analysis through microfluidic chip technology: a comprehensive review
    Raha F. Shukr, Hemn A. Qader, Idrees Bakr Qader, Sameera Sh. Mohammed Ameen, Khalid Mohammad Omer · 2025 · Chemical Papers
83. Multiscale modelling of drug mechanism and safety
    Jitao David Zhang, Lisa Sach-Peltason, Christian Krämer, Ken Wang, Martin Ebeling · 2019 · Drug Discovery Today
84. Recent Progress of Deep Learning in Drug Discovery
    Feng Wang, XiaoMin Diao, Shan Chang, Lei Xu · 2021 · Current Pharmaceutical Design
85. Automated robotic platforms in design and development of formulations
    Liwei Cao, Danilo Russo, Alexei A. Lapkin · 2021 · AIChE Journal
86. Shape-Restrained Modeling of Protein–Small-Molecule Complexes with High Ambiguity Driven DOCKing
    Panagiotis I. Koukos, Manon F. Réau, Alexandre M. J. J. Bonvin · 2021 · Journal of Chemical Information and Modeling
87. Continuous flow synthesis of diaryl ketones by coupling of aryl Grignard reagents with acyl chlorides under mild conditions in the ecofriendly solvent 2-methyltetrahydrofuran
    Chuantao Zhang, Rui Zhu, Zheng Wang, Bing Ma, Adrian Zajac, Marcin Śmiglak, Chun‐Nian Xia, Steven L. Castle, Wenlong Wang · 2019 · RSC Advances
88. Repurposing drugs for treatment of SARS-CoV-2 infection: computational design insights into mechanisms of action
    Shubhangi Kandwal, Darren Fayne · 2020 · Journal of Biomolecular Structure and Dynamics
89. The Convergence of Artificial Intelligence and Microfluidics in Drug Research and Development
    Du Qiao, Hongxia Li, Xue Zhang, Xuhui Chen, Zhang Jiang, Jianan Zou, Danyang Zhao, Weiping Zhu, Xuhong H. Qian, Honglin Li · 2025 · Engineering
90. In vitro disease models 4.0 via automation and high-throughput processing
    Sebastian Eggert, Dietmar Werner Hutmacher · 2019 · Biofabrication
91. GenUI: interactive and extensible open source software platform for de novo molecular generation and cheminformatics
    M. Sicho, Xuhan Liu, Daniel Svozil, Gerard J. P. van Westen · 2021 · Journal of Cheminformatics
92. Artificial Intelligence in battling infectious diseases: A transformative role
    Chunhui Li, Guoguo Ye, Yinghan Jiang, Zhiming Wang, Haiyang Yu, Minghui Yang · 2024 · Journal of Medical Virology
93. Design of an Automated Reagent-Dispensing System for Reaction Screening and Validation with DNA-Tagged Substrates
    Jens Bobers, Mateja Klika Škopić, Robin Dinter, Piriyanth Sakthithasan, Laura Neukirch, Christian Gramse, Ralf Weberskirch, Andreas Brunschweiger, Norbert Kockmann · 2020 · ACS Combinatorial Science
94. Unlocking the potential: multimodal AI in biotechnology and digital medicine—economic impact and ethical challenges
    Arya Bhushan, PK Misra · 2025 · npj Digital Medicine
95. Programmable Repurposing of Existing Drugs as Pharmaceutical Elements for the Construction of Aptamer–Drug Conjugates
    Fei Gao, Jinming Zhou, Yang Sun, Yang Cai, Shi‐Yan Zhang, Ruowen Wang, Weihong Tan · 2020 · ACS Applied Materials & Interfaces
96. Prediction of Drug Targets for Specific Diseases Leveraging Gene Perturbation Data: A Machine Learning Approach
    Kai Zhao, Yujia Shi, Hon‐Cheong So · 2022 · Pharmaceutics
97. Nanoliter Scale Parallel Liquid–Liquid Extraction for High‐Throughput Purification on a Droplet Microarray
    Janne J. Wiedmann, Yelda N. Demirdögen, S. Schmidt, Mariia A. Kuzina, Yanchen Wu, Fei Wang, Britta Nestler, Carsten Hopf, Pavel A. Levkin · 2022 · Small
98. The Effect of Debiasing Protein–Ligand Binding Data on Generalization
    Vikram Sundar, Lucy J. Colwell · 2019 · Journal of Chemical Information and Modeling
99. Two-Phase Flow in a Coiled Flow Inverter: Process Development from Batch to Continuous Flow
    Jens Bobers, Julia Grühn, Stefan Höving, Tobias Pyka, Norbert Kockmann · 2020 · Organic Process Research & Development
100. Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives
     Jian Song, Guang-Chao Wang, Sicheng Wang, Chongru He, Yingze Zhang, Xiao Chen, Jiacan Su · 2025 · Military Medical Research