Results 151 to 160 of about 43,712,030 (248)

Community challenges in biomedical text mining over 10 years: success, failure and the future. [PDF]

Brief Bioinform, 2016
Huang CC, Lu Z.
europepmc   +1 more source

Extracting vitalities: Cuts in Indigenous women's bodies‐territories (Brazil)

Medical Anthropology Quarterly, EarlyView.
Abstract In this article, I explore the connections between the medicalization of childbirth and environmental devastation through Guarani‐Mbyá understandings of life and the living. I argue that the cuts made to Guarani‐Mbyá women's vaginas (episiotomies) in Brazilian hospitals are experienced and situated on the same cosmopolitical level as the cuts ...
Maria Paula Prates
wiley   +1 more source

NeuraGraph: a visual workflow framework for reproducible biomedical text mining with LLM-agents. [PDF]

Bioinform Adv
Zhao L, Ren C, Liu X, Han L, Fan Y, Kang L, Guo Q.   +6 more
europepmc   +1 more source

Evaluating Large‐Language Models in Bioinformatics Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
This work systematically evaluates advanced large language models across six representative bioinformatics tasks, from drug–drug interaction prediction and molecular optimization to single‐cell annotation and computational biology problem solving. The benchmark quantifies both their promise and limitations, offering practical guidance for prompt design,
Hengchuang Yin, Ziwen Cui, Dongxu Li, Yue Yang, Ying Chang, Xiaobo Zhu, Jun Zhang, Pengwei Hu, Xi Zhou, Lun Hu   +9 more
wiley   +1 more source

Targeting the Mind to Heal the Body: An Interpretative Phenomenological Analysis of Psychotherapists' Work With Medically Unexplained Symptoms

Counselling and Psychotherapy Research, Volume 26, Issue 4, December 2026.
ABSTRACT Background Medically unexplained symptoms (MUS) can present complex challenges in psychotherapeutic practice, occupying an ambiguous space at the intersection of physical suffering and psychological distress. While MUS are predominantly managed within medical settings, there remains limited qualitative research exploring how psychotherapists ...
Lesley A. Kalish, Maria Luca, Chris Roe
wiley   +1 more source

Writing by proxy: Authentic authorship in the era of AI‐powered communication of scientific knowledge

Journal of Cell Communication and Signaling, Volume 20, Issue 4, December 2026.
Evolution of AI as an analytical tool and an efficient copyeditor. AI use in 2015, you wrote and discussed what you investigated and found. By 2025, AI helps with the drafting, the editing, and much of the analysis. Efficiency is undeniable. By 2029, fluency will likely be free but the hardest questions still belong to the human investigators such as ...
Brahim Chaqour
wiley   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Network based approach identifies miR‐145‐3p as a central regulatory hub associated to the progression from localized to metastatic medullary thyroid carcinoma

The Journal of Pathology, Volume 270, Issue 4, Page 468-480, December 2026.
Abstract Medullary thyroid carcinoma (MTC) is a neuroendocrine tumor originating from calcitonin producing C‐cells and accounts for 1–5% of thyroid cancers. Total thyroidectomy is curative in localized disease (N0), whereas lymph node metastases (N1) are associated with poorer prognosis.
Anna Citarella, Manuela Petti, Zein Mersini Besharat, Caterina Alfano, Elena Splendiani, Sofia Trocchianesi, Sara Cassandro, Martina Chiacchiarini, Claudia Sabato, Francesca Gianno, Tanja Milena Autilio, Martina Brunetti, Giuseppina Catanzaro, Antonella Verrienti, Rossella Elisei, Raffaele Ciampi, Cristina Romei, Maria Grazia Castagna, Silvia Cantara, Vincenzo Marotta, Luciano Pezzullo, Lorenzo Farina, Cosimo Durante, Agnese Po, Elisabetta Ferretti   +24 more
wiley   +1 more source

Benchmarking commercial large language models for gene–disease–phenotype extraction from full‐text human genetics literature

Quantitative Biology, Volume 14, Issue 4, December 2026.
Abstract Manual curation of gene–disease–phenotype relationships from the human genetics literature is a persistent bottleneck for maintaining its bioinformatics databases. Whereas large language models (LLMs) offer a promising alternative, there is currently no systematic benchmark that evaluates whether state‐of‐the‐art commercial LLMs can perform ...
Danqing Yin, Matthew Ka Siu Leung, Darren Wan Ho Pun, Fiona Haixin Chen, Julie Yujin Kwon, Xinyi Lin, Joshua W. K. Ho   +6 more
wiley   +1 more source

Uncertainty‐suppressed long‐tailed learning with lightweight feature adaptation for multi‐label chest X‐ray classification

Journal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.
Abstract Background Report‐mined chest radiograph datasets commonly contain both long‐tailed label distributions and uncertain annotations. Conventional frequency‐based re‐weighting can strengthen rare‐label learning, but it may also amplify unreliable supervision when uncertain labels occur in minority classes.
Lu Li
wiley   +1 more source