Fetching the paper…
Reading the bibliography…
Conventional biomedical research is increasingly labor-intensive due to the exponential growth of scientific literature and datasets.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
Advancing the nation’s health needs: NIH research training programs
National Research Council, Policy, Global Affairs, Board on Higher Education, Committee for Monitoring the Nation’s Changing Needs for Biomedical, and Clinical Personnel · 2005
Earlier work this paper cites.
Systematic Reviewing , pp. 187–211
Justin Clark · 2013
Earlier work this paper cites.
Reproducibility in science: improving the standard for basic and preclinical research
C Glenn Begley and John PA Ioannidis · 2015
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin · 2018
Earlier work this paper cites.
What the radiologist should know about artificial intelligence–an esr white paper
European Society of Radiology (ESR) communications@ myesr. org Neri Emanuele de Souza Nandita Brady Adrian Bayarri Angel Alberich Becker Christoph D. Coppola Francesca Visser Jacob · 2019
Earlier work this paper cites.
Design of Experimental Studies in Biomedical Sciences , pp. 37–47
Bagher Larijani, Akram Tayanloo-Beik, Moloud Payab, Mahdi Gholami, Motahareh Sheikh-Hosseini, and Mehran Nematizadeh · 2020
Earlier work this paper cites.
Automatic boolean query formulation for systematic review literature search
Harrisen Scells, Guido Zuccon, Bevan Koopman, and Justin Clark · 2020
Earlier work this paper cites.
Artificial intelligence enabling radiology reporting
Bernardo C Bizzo, Renata R Almeida, and Tarik K Alkasab · 2021
Earlier work this paper cites.
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, Swati Tiwari, Rashmi K Ambasta, and Pravir Kumar · 2021
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Earlier work this paper cites.
Prediction of drug efficacy from transcriptional profiles with deep learning
Jie Zhu, Jing Xiang Wang, Xin Wang, Mingjing Gao, Bingbing Guo, Miaomiao Gao, Jiarui Liu, Yanqiu Yu, Liang Wang, Weikaixin Kong, et al · 2021
Earlier work this paper cites.
Cloud labs: where robots do the research
Carrie Arnold · 2022
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xue Zhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022
Earlier work this paper cites.
Autonomous chemical research with large language models
Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes · 2023
Earlier work this paper cites.
Exploring the opportunities and challenges of chatgpt in academic writing: a roundtable discussion
Hee-Seung Henry Bom · 2023
Earlier work this paper cites.
Yi Rong Chen, Zhen Yu Wang, Xiao Fen Xing, Zhipei Xu, Kai Fang, Junhong Wang, Sihang Li, Jieling Wu, Qi Liu, Xiangmin Xu, et al · 2023
Earlier work this paper cites.
Promptbreeder: Self-referential self-improvement via prompt evolution
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, and Tim Rocktäschel · 2023
Earlier work this paper cites.
Retrieval-augmented generation for large language models: A survey
Yun Fan Gao, Yun Xiong, Xin Yu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Meng Wang, and Haofen Wang · 2023
Earlier work this paper cites.
Iron oxide nanozymes stabilize stannous fluoride for targeted biofilm killing and synergistic oral disease prevention
Yue Huang, Yuan Liu, Nil Kanatha Pandey, Shrey Shah, Aurea Simon-Soro, Jessica C Hsu, Zhi Ren, Zhenting Xiang, Dongyeop Kim, Tatsuro Ito, et al · 2023
Earlier work this paper cites.
In silico protein interaction screening uncovers donson’s role in replication initiation
Yang Lim, Lukas Tamayo-Orrego, Ernst Schmid, Zygimante Tarnauskaite, Olga V Kochenova, Rhian Gruar, Sachiko Muramatsu, Luke Lynch, Aitana Verdu Schlie, Paula L Carroll, et al · 2023
Cited alongside, same era.
Writing with chatgpt: An illustration of its capacity, limitations & implications for academic writers
Lorelei Lingard · 2023
Cited alongside, same era.
Artificial intelligence in drug discovery and development
Kit-Kay Mak, Yi-Hang Wong, and Mallikarjuna Rao Pichika · 2023
Cited alongside, same era.
An efficient iot-artificial intelligence-based disease prediction using lightweight cnn in healthcare system
Areej A Malibari · 2023
Cited alongside, same era.
An explainable predictive model for suicide attempt risk using an ensemble learning and shapley additive explanations (shap) approach
Noratikah Nordin, Zurinahni Zainol, Mohd Halim Mohd Noor, and Lai Fong Chan · 2023
Cited alongside, same era.
The pyroptosis-related signature predicts prognosis and influences the tumor immune microenvironment in dedifferentiated liposarcoma
Wen Jing Chen, Jun Cheng, Yi Qi Cai, Pengfei Wang, and Jinji Jin · 2024
Closest in time.
Ready-to-use ipsc-derived microglia progenitors for the treatment of cns disease in mouse models of neuropathic mucopolysaccharidoses
Panagiotis Douvaras, Diego F Buenaventura, Bruce Sun, Ashley Lepack, Elizabeth Baker, Elizabeth Simpson, Mark Ebel, Gregory Lallos, Deven LoSchiavo, Nicholas Stitt, et al · 2024
Closest in time.
Zhi Hao Fan, Jia Long Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xi, Fei Huang, and Jingren Zhou · 2024
Closest in time.
Empowering biomedical discovery with ai agents
Shang Hua Gao, Ada Fang, Ye Peng Huang, Valentina Giunchiglia, Ayush Noori, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, and Marinka Zitnik · 2024
Closest in time.
Crispr-gpt: An llm agent for automated design of gene-editing experiments
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Can generalist foundation models outcompete special-purpose tuning? case study in medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, et al · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
Cited alongside, same era.
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2023
Cited alongside, same era.
Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
Lei Wang, Wan Yu Xu, Yi Huai Lan, Zhi Qiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim · 2023
Cited alongside, same era.
A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt · 2023
Cited alongside, same era.
Autogen: Enabling next-gen LLM applications via multi-agent conversation framework
Qing Yun Wu, Gagan Bansal, Jie Yu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang · 2023
Cited alongside, same era.
Large language models as optimizers. 2023
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le, Denny Zhou, and Xinyun Chen · 2023
Cited alongside, same era.
Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ Altman, Mengdi Wang, and Le Cong · 2024
Closest in time.
Pubmed and beyond: biomedical literature search in the age of artificial intelligence
Qiao Jin, Robert Leaman, and Zhiyong Lu · 2024
Closest in time.
Agent hospital: A simulacrum of hospital with evolvable medical agents
Jun Kai Li, Si Yu Wang, Meng Zhang, Weitao Li, Yunghwei Lai, Xinhui Kang, Weizhi Ma, and Yang Liu · 2024
Closest in time.
The ai scientist: Towards fully automated open-ended scientific discovery
Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha · 2024
Closest in time.
Augmenting large language models with chemistry tools
Andres M. Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller · 2024
Closest in time.
Openmedlm: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, Leo Cyrus, Mayank Sharma, Madalina Ciobanu, Gina Barnes, Rahul Thapa, Qingqing Mao, and Ritankar Das · 2024
Closest in time.
Few shot chain-of-thought driven reasoning to prompt llms for open ended medical question answering
Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, and Sachindra Joshi · 2024
Closest in time.
Malik Abdul Sami, Zeeshan Rasheed, Kai-Kristian Kemell, Muhammad Waseem, Terhi Kilamo, Mika Saari, Anh Nguyen-Duc, Kari Systä, and Pekka Abrahamsson · 2024
Closest in time.
Development of a novel colorimetric assay for the rapid diagnosis of coronavirus disease 2019 from nasopharyngeal samples
Neda Sepahi, Sahar Samsami, Yaser Mansoori, Maryam Chenari, Negin Namavari, Ava Yazdanpanah, Abdolmajid Ghasemian, Zahra Montaseri, Mahboobeh Sharifzadeh, Razie Ranjbar, et al · 2024
Closest in time.
Haoyang Su, Renqi Chen, Shixiang Tang, Xinzhe Zheng, Jingzhe Li, Zhenfei Yin, Wanli Ouyang, and Nanqing Dong · 2024
Closest in time.
Agentic llm workflows for generating patient-friendly medical reports
Malavikha Sudarshan, Sophie Shih, Estella Yee, Alina Yang, John Zou, Cathy Chen, Quan Zhou, Leon Chen, Chinmay Singhal, and George Shih · 2024
Closest in time.
Medagents: Large language models as collaborators for zero-shot medical reasoning
Xiang Ru Tang, An Ni Zou, Zhuo Sheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, and Mark Gerstein · 2024
Closest in time.
Diagnosis of alzheimer’s disease using plasma biomarkers adjusted to clinical probability
Joseph Therriault, Shorena Janelidze, Andréa Lessa Benedet, Nicholas J Ashton, Javier Arranz Martínez, Armand Gonzalez-Escalante, Bruna Bellaver, Daniel Alcolea, Agathe Vrillon, Helmet Karim, et al · 2024
Closest in time.
Genesis: Towards the automation of systems biology research
Ievgeniia A. Tiukova, Daniel Brunnsåker, Erik Y. Bjurström, Alexander H. Gower, Filip Kronström, Gabriel K. Reder, Ronald S. Reiserer, Konstantin Korovin, Larisa N. Soldatova, John P. Wikswo, and Ross D. King · 2024
Closest in time.
Cycleresearcher: Improving automated research via automated review
Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, and Linyi Yang · 2024
Closest in time.
Collaborative evolving strategy for automatic data-centric development
Xu Yang, Haotian Chen, Wenjun Feng, Haoxue Wang, Zeqi Ye, Xinjie Shen, Xiao Yang, Shizhao Sun, Weiqing Liu, and Jiang Bian · 2024
Closest in time.
Noninvasive, microbiome-based diagnosis of inflammatory bowel disease
Jiaying Zheng, Qianru Sun, Mengjing Zhang, Chengyu Liu, Qi Su, Lin Zhang, Zhilu Xu, Wenqi Lu, Jessica Ching, Whitney Tang, et al · 2024
Closest in time.