Results 91 to 100 of about 2,634,989 (242)
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Smile analysis following orthognathic surgery
is study compared the different views between orthodontists and oral maxillofacial surgeons, as for smile analysis in patients subjected to orthognathic surgery.
Gabriel Ramalho Ferreira, Leonardo Perez Faverani, Gustavo Augusto Grossi de Oliveira, André Luis da Silva Fabris, Cláudio Maldonado Pastori, Omar Gabriel da Silva Filho
core
Why do we smile? On the determinants of the implied volatility function. [PDF]
We report simple regressions and Granger causality tests in order to understand the pattern of implied volatilities across exercise prices. We employ all calls and puts transacted between 16:00 and 16:45 on the Spanish IBEX-35 index from January 1994 to ...
Rubio, Gonzalo +2 more
core
Purpose: The four SMILE studies demonstrated that early administration of zofenopril following acute myocardial infarction is prognostically beneficial compared to placebo or other angiotensin-converting enzyme (ACE) inhibitors.
Omboni, Stefano +6 more
core +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
PURPOSE To assess the fabrication trueness, precision, and internal fit of additively manufactured (AM) and subtractively manufactured (SM) resin-based definitive crowns.
Ahmet Orgev +3 more
semanticscholar +1 more source
Стимулювання інновацій та підприємництва в розумному виробництві. Аналітична записка. [PDF]
Ця аналітична записка була підготовлена в рамках проєкту SMILE (Інновації, навчальні лабораторії та підприємництво у сфері розумного виробництва) Європейського інституту інновацій і технологій в програмі “Horizon Europe” і призначена для освітніх ...
консорціум SMILE EIT HEI Innovate
core +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source

