Results 181 to 190 of about 30,071 (267)
Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
Prodigy protein: Python package for zero-shot protein engineering using protein language models. [PDF]
Massett M, Carr A.
europepmc +1 more source
A prospective natural history study protocol for clinical trial readiness in synaptic disorders
Abstract Objective STXBP1‐related disorder (STXBP1‐RD) and SYNGAP1‐related disorder (SYNGAP1‐RD) are two common genetic synaptopathies that are associated with epilepsy, developmental delay, intellectual developmental disorder, and behavioral problems.
Jillian L. McKee +38 more
wiley +1 more source
How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research? [PDF]
Lee Y, Huh S.
europepmc +1 more source
Abstract Objective Use of neuromodulation strategies targeting thalamic nuclei, including deep brain stimulation (DBS) and responsive neurostimulation (RNS), for treatment of pediatric drug‐resistant epilepsy (DRE) is increasing, despite limited evidence for efficacy and safety. We present the initial results from the Comparative Multicenter Evaluation
Samuel A. Tenhoeve +28 more
wiley +1 more source
<i>agtools</i>: a software framework to manipulate assembly graphs. [PDF]
Mallawaarachchi V +5 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
irAE.AI: AI-powered exploration of real-world immune-related adverse events. [PDF]
Fort G +4 more
europepmc +1 more source
Utility of repeat stereotactic EEG in pediatric patients with tuberous sclerosis
Abstract Objective Tuberous sclerosis complex (TSC) is a rare genetic disorder associated with early‐onset drug‐resistant epilepsy (DRE) secondary to intracranial tubers. Many patients undergo stereo‐EEG (sEEG) for seizure onset localization, sometimes requiring multiple sEEGs and subsequent epilepsy surgeries. Our objective was to evaluate the effects
Julie Uchitel +14 more
wiley +1 more source

