Results 41 to 50 of about 90,319 (257)

Modeling and Optimization with Artificial Intelligence in Nutrition

Applied Sciences, 2023
The use of mathematical modeling and optimization in nutrition with the help of artificial intelligence is indeed a trendy and promising approach to data processing.
Vesna Knights, Mirela Kolak, Gordana Markovikj, Jasenka Gajdoš Kljusurić   +3 more
doaj   +1 more source

De novo synthesis of short‐chain aldehydes and hydrocarbons secreted by the brown marmorated stink bug Halyomorpha halys

FEBS Open Bio, EarlyView.
The brown marmorated stink bug, Halyomorpha halys, mainly secretes 4‐oxo‐(E)‐2‐hexenal, (E)‐2‐decenal, dodecane and tridecane, a mixture representative of that released by many heteropterans. We demonstrated that H. halys can synthesise these secretory components de novo using dietary glucose.
Haruna Fujimori, Koji Noge
wiley   +1 more source

Artificial nutrition and hydration

International Journal of Human and Health Sciences (IJHHS), 2017
Hydration and nutrition are essential for the maintenance of life. Discontinuation of artificial support can result in distress for patients, family members, and healthcare providers. Proponents of maintaining hydration argue that hydration is a basic human need and can reduce and prevent dehydration-induced delirium, opioid neurotoxicity, and/or ...
Albar Mohammed Ali, Chamsi Pasha Hassan
openaire   +2 more sources

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

Arthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo, Ashish P. Balar, Aidan K. Strother, Subhash Kulkarni, Michael Hughes, Brian Skaug, Maureen D. Mayes, Shervin Assassi, Ali Y. Ayla, Zsuzsanna H. McMahan   +9 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Prediction of depressive disorder using machine learning approaches: findings from the NHANES

BMC Medical Informatics and Decision Making
Background Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between risk ...
Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki   +8 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Large language models and questions from older adults: a human and machine-based evaluation study

Discover Artificial Intelligence
Large language models (LLMs) hold the potential to offer substantial advantages in information generation and comprehension. This study seeks to evaluate the extent to which these models can effectively meet the needs of older adults by examining ...
Research Dawadi, Thien Vu, Jie Ting Tay, Phap Tran Ngoc Hoang, Ai Oya, Masaki Yamamoto, Naoki Watanabe, Yuki Kuriya, Michihiro Araki   +8 more
doaj   +1 more source