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BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining [PDF]
Briefings Bioinform., 2022 Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.
Renqian Luo +6 more
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Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing [PDF]
ACM Trans. Comput. Heal., 2020 Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general domain corpora, such as newswire and Web.
Yu Gu +8 more
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Journal of Biomedical Practitioners, 2021 Nel luglio 2017 nasce il Journal of Biomedical Practitioner (JBP) con la pubblicazione del primo fascicolo. Fin dal suo esordio il JBP vuole offrire ai professionisti della salute un “luogo di incontro” Open Access libero e senza pregiudizi per lo ...
Comitato di redazione Journal of Biomedical Practitioners
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Journal of Biomedical Practitioners, 2021 In July 2017, the Journal of Biomedical Practitioner (JBP) starts publications with its first number. Since its debut JBP would offer itself as a meeting place to health professionals, free to all and Open Access, without prejudices for experience ...
Editorial board Journal of Biomedical Practitioners
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MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification [PDF]
Scientific Data, 2021 Measurement(s) supervised machine learning Technology Type(s) machine learning We introduce MedMNIST v2 , a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D.
Jiancheng Yang +7 more
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Towards Generalist Biomedical AI [PDF]
NEJM AI, 2023 Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, and interpret this data at scale can potentially enable ...
Tao Tu +31 more
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Green Chemistry Letters and Reviews, 2022 Twenty years passed since the discovery of superconductivity in MgB2. Although there is much progress, the use of superconductors, in general, and of MgB2 in particular, remains limited.
Petre Badica, Dan Batalu
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining [PDF]
Bioinform., 2019 Motivation Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows. With the progress in natural language processing (NLP), extracting valuable information from biomedical literature has gained ...
Jinhyuk Lee +6 more
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MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval [PDF]
Bioinform., 2023 Motivation Information retrieval (IR) is essential in biomedical knowledge acquisition and clinical decision support. While recent progress has shown that language model encoders perform better semantic retrieval, training such models requires abundant ...
Qiao Jin +6 more
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Hemocompatibility poly (lactic acid) nanostructures: A bird’s eye view [PDF]
Nanomedicine Journal, 2020 The usage of clinical devices in the cardiovascular treatment, hemodialyze system and other biomedical applications has improved recently. Direct contacts of biomaterials like poly(lactic acid) biopolymer with blood result in the activating of platelets,
Farnaz-sadat Fattahi, Tahereh Zamani
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