Results 51 to 60 of about 38,882 (267)

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Collaborative Uses of GenAI Tools in Project-Based Learning

Education Sciences
Artificial intelligence (AI) is forcing a dramatic transformation of the methods by which we acquire knowledge and engage in collaborative learning. Although there are several studies on how AI can support collaborative learning, there are no published ...
Maria Perifanou, Anastasios A. Economides   +1 more
doaj   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
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, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Machine‐Learning‐Guided Discovery of Boron‐Free Narrowband Blue Thermally Activated Delayed Fluorescence Emitters

Angewandte Chemie, EarlyView.
A data‐driven discovery engine—exhaustive enumeration of carbazole‐containing polycyclic aromatic hydrocarbons (Cz‐PAHs) followed by machine learning—identifies boron‐free, narrowband blue thermally activated delayed fluorescence emitters for organic light‐emitting diodes (OLEDs).
Masaya Hagai, Jie Sun, Jun Hyeon Lee, Kazuhiro J. Fujimoto, Shigehiro Yamaguchi, Takuma Yasuda, Takeshi Yanai   +6 more
wiley   +2 more sources

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
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, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Strengthening nursing knowledge and skills in perioperative cleft care: a focused training approach in Nigeria’s surgical healthcare plan

Frontiers in Medicine
BackgroundSafe perioperative nursing care is crucial to improving outcomes of surgical care. This is a report on the pilot implementation of a nursing training programme aimed at strengthening safe perioperative nursing care in Nigeria, aligning with the
Olubunmi Aiyedun Lawal, Ngozika Opara, Chisom Rachel Udeigwe-Okeke, Chisom Rachel Udeigwe-Okeke, Aderonke Omoyeni Obisesan, Aderonke Omoyeni Obisesan, Justina Seyi-Olajide, Justina Seyi-Olajide, Justina Seyi-Olajide, Oti Nimi Aria, Oti Nimi Aria, Mohammed Adam Sheikh Abdullahi, Mohammed Adam Sheikh Abdullahi, Nkeiruka Obi, Nkeiruka Obi, Nkeiruka Obi, Emmanuel A. Ameh, Emmanuel A. Ameh, Emmanuel A. Ameh   +18 more
doaj   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
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, Nicholas Ballard   +1 more
wiley   +1 more source

Gambaran Komponen Senyum Pasien Sebelum Perawatan Ortodonti (Kajian Foto Frontal di Klinik Ortodonti RSGMP FKG UI)

Journal of Dentistry Indonesia, 2013
Smile is a non-verbal communication to express spontaneous feelings and emotions. Most patients that come to have orthodontic treatments want to have an attractive smile, but before the treatment smile has not yet been studied. There are eight components
Yuri Analia, Nia Ayu Ismaniati, Maria Purbiati   +2 more
doaj   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
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, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source