Results 51 to 60 of about 52,931 (300)

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

open access: yesFEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui   +10 more
wiley   +1 more source

Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the self-assessment program of American Academy of Ophthalmology

open access: yesScientific Reports, 2023
To compare the performance of humans, GPT-4.0 and GPT-3.5 in answering multiple-choice questions from the American Academy of Ophthalmology (AAO) Basic and Clinical Science Course (BCSC) self-assessment program, available at https://www.aao.org/education/
Andrea Taloni   +6 more
doaj   +1 more source

GPT-3 Abstract Classification for Scientometrics

open access: yes, 2023
This working paper shows how to fine-tune and use a GPT-3 model to assign publications, based on their abstracts, to a commonly used scientific classification scheme, the Australian and New Zealand Standard Research Classification system (ANZSRC). The work was carried out in the context of the project "ModelSEN: Socioepistemic Networks: Modelling ...
openaire   +1 more source

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

open access: yesAnnals 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   +13 more
wiley   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Biopsychosocial determinants of hand function and its trajectories over five years in patients with hand osteoarthritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives This study aimed to investigate hand function trajectories over 5 years in primary hand osteoarthritis. Additionally, determinants of baseline and longitudinal hand function were assessed. Methods 538 patients with both baseline and 5‐year study visits were analyzed.
Annemiek V.E.M. Olde Meule   +4 more
wiley   +1 more source

Quick review of pedagogical experiences using GPT-3 in education

open access: yesJournal of Technology and Science Education
GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they ...
Joel Manuel Prieto Andreu   +1 more
doaj   +1 more source

A Human Being Wrote This Law Review Article: GPT-3 and the Practice of Law [PDF]

open access: yes, 2021
Artificial intelligence tools can now “write” in such a sophisticated manner that they fool people into believing that a human wrote the text. None are better at writing than GPT-3, released in 2020 for beta testing and coming to commercial markets in ...
Cyphert, Amy B.
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Postoperative complication management: How do large language models measure up to human expertise?

open access: yesPLOS Digital Health
Managing postoperative complications is an essential part of surgical care and largely depends on the medical team's experience. Large Language Models (LLMs) have demonstrated immense potential in supporting medical professionals.
Sophie-Caroline Schwarzkopf   +5 more
doaj   +1 more source

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