Results 91 to 100 of about 3,008,888 (261)

Large language models for bioinformatics

Quantitative Biology
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Ruan, Wei, Lyu, Yanjun, Zhang, Jing, Cai, Jiazhang, Shu, Peng, Ge, Yang, Lu, Yao, Gao, Shang, Wang, Yue, Wang, Peilong, Zhao, Lin, Wang, Tao, Liu, Yufang, Fang, Luyang, Liu, Ziyu, Liu, Zhengliang, Li, Yiwei, Wu, Zihao, Chen, Junhao, Jiang, Hanqi, Pan, Yi, Yang, Zhenyuan, Chen, Jingyuan, Liang, Shizhe, Zhang, Wei, Ma, Terry, Dou, Yuan, Zhang, Jianli, Gong, Xinyu, Gan, Qi, Zou, Yusong, Chen, Zebang, Qian, Yuanxin, Yu, Shuo, Lu, Jin, Song, Kenan, Wang, Xianqiao, Sikora, Andrea, Li, Gang, Li, Xiang, Li, Quanzheng, Wang, Yingfeng, Zhang, Lu, Abate, Yohannes, He, Lifang, Zhong, Wenxuan, Liu, Rongjie, Huang, Chao, Liu, Wei, Shen, Ye, Ma, Ping, Zhu, Hongtu, Yan, Yajun, Zhu, Dajiang, Liu, Tianming   +54 more
openaire   +2 more sources

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Facilitating Large Language Model Russian Adaptation with Learned Embedding Propagation

Journal of Language and Education
Background: Recent advancements in large language model (LLM) technologies have introduced powerful open-source instruction-tuned LLMs that match the text generation quality of leading models like GPT-4.
Михаил Тихомиров, Даниил Чернышев   +1 more
doaj   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

Iconicity in large language models

Digital Scholarship in the Humanities
Abstract Lexical iconicity, a direct relation between a word’s meaning and its form, is an important aspect of every natural language, most commonly manifesting through sound-meaning associations. Since Large language models’ (LLMs’) access to both meaning and sound of text is only mediated (meaning through textual context, sound ...
Anna Marklová, Jiří Milička, Leonid Ryvkin, L’udmila Lacková Bennet, Libuše Kormaníková   +4 more
openaire   +2 more sources

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

EYE-Llama, an in-domain large language model for ophthalmology

iScience
Summary: Training large language models (LLMs) on domain-specific data enhances their performance, yielding more accurate and reliable question-answering (Q&A) systems that support clinical decision-making and patient education.
Tania Haghighi, Sina Gholami, Jared Todd Sokol, Enaika Kishnani, Adnan Ahsaniyan, Holakou Rahmanian, Fares Hedayati, Theodore Leng, Minhaj Nur Alam   +8 more
doaj   +1 more source

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte, Lucy Norcliffe‐Kaufmann, Maria Luisa Cotrina, Zenith Khan, Kaia Dalamo, Patricio Millar Vernetti, Matthew Lawless, Elisabetta Morini, Monica Salani, Marla Weetall, Jana Narasimhan, Agostino G. Rocha, Susan A. Slaugenhaupt, Horacio Kaufmann   +13 more
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source