Results 151 to 160 of about 272,857 (301)

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Complex and Recurrent Hiatal Hernia Repair Using a Pedicled Rectus Abdominis Flap: Surgical Technique and Case Series. [PDF]

Plast Reconstr Surg Glob Open
Hannouille J, Charara F, Simonelli V.
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Association between hypnotic medication use and in-hospital falls among older adults: A multicenter landmark analysis. [PDF]

PLoS One
Nishino T, Kubota Y, Miyagi Y, Tanabe N, Yamaguchi F, Ito H, Soh S, Yano A, Mizuno M, Kim C, Ishii Y, Kondo Y, Asai K.   +12 more
europepmc   +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

Recurrent aseptic meningitis in adults: a potential indicator of undetermined autoinflammatory disease. [PDF]

Front Immunol
Martinot M, Ardois S, Chauvet E, Cavestro D, Blanche P, Papo T, Murarasu A.   +6 more
europepmc   +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

Operative Management of a Late-Presenting McKee Type IV Capitellum Coronal Shear Fracture via an Anterolateral Approach: A Rare Case Report. [PDF]

J Orthop Case Rep
Shetty RS, Sheth B, Mugutrao AA, Ram VSSH, Das J, Agarwal AA.   +5 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care. [PDF]

Front Digit Health
Veerapaneni RK, Delhibabu R, Subbotin A, Zhukova N.   +3 more
europepmc   +1 more source