Results 211 to 220 of about 991,502 (283)

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali, Thomas Mundy, Majid Hosseini, Morteza Bodaghi, Akio Fujiwara, Sejal Shyam Bhatia, Kayla Baker, Elena Bartolone, Dhara Patel, Henry Chu, Raju Gottumukkala, Jonathan Bidwell, Edward D. McCoul   +12 more
wiley   +1 more source

Cluster Formation and Phase Transitions Induced by Vibrational Strong Coupling

Angewandte Chemie, EarlyView.
Non ‐ resonant Rayleigh scattering reveals that vibrational strong coupling induces clustering and phase transitions in liquids that undergo well defined transitions with temperature and solvent composition. Abstract Vibrational strong coupling (VSC) has been shown to significantly modify the chemical and physical properties of molecules and materials.
K. Sandeep, S. Swaminathan, A. Jayachandran, K. Nagarajan, J. Gautier, S. Kushida, T. Chervy, R.M.A. Vergauwe, A. Thomas, T.W. Ebbesen   +9 more
wiley   +2 more sources

Modeling chronic periodontitis in rats: Persistent alveolar bone loss mediated by periodontal pathogens

Animal Models and Experimental Medicine, EarlyView.
Irrigation of periodontal pockets with human periopathogens, in combination with a 14‐day ligature‐induced periodontitis protocol, significantly enhances alveolar bone loss and sustains bacterial colonization for up to 28 days following ligature removal, thereby more closely replicating the chronic nature of human periodontitis compared to the ligature
Maksym Skrypnyk, Chun Xu, Shlomo Berkovsky, Thilini Jayasinghe, Axel Spahr   +4 more
wiley   +1 more source

Advancing Structure Elucidation with a Flexible Multi‐Spectral AI Model

Angewandte Chemie, EarlyView.
The MultiModalSpectralTransformer (MMST) is an automated tool that helps identify molecular structures by combining different spectroscopic methods, including 2D and 1D NMR, IR, and MS, within a unified AI framework. Trained on 4 million simulated compounds, MMST achieves 72% top‐1 accuracy in molecular identification and adapts to new chemical spaces ...
Martin Priessner, Richard J. Lewis, Isak Lemurell, Magnus J. Johansson, JonathanM. Goodman, Jon Paul Janet, Anna Tomberg   +6 more
wiley   +2 more sources

Artificial intelligence in clinical risk prediction: promise, performance and the path forward? [PDF]

BMJ Health Care Inform
Narasimhan P, Iqbal U, Li YC.
europepmc   +1 more source

Informatics solution for Smart Garden based on Sensors

, 2018
Simona‐Vasilica Oprea, Diana-Alexandra Radu   +1 more
openalex   +1 more source

Materials informatics: data-driven materials design and uncertainty quantification perspectives.

, 2020
Anh Tran, Timothy Wildey
openalex   +1 more source

Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy

Annals of Neurology, EarlyView.
Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen, Jaden Thomas, Xianhui Chen, Jaden Zelidon, Mariam Najeeb, Abigayle Hahn, Ping Zhang, Aaron Sathyanesan, Bin Gu   +8 more
wiley   +1 more source

Semaglutide and diabetic retinopathy: an OHDSI network study. [PDF]

BMJ Open Diabetes Res Care
Cai CX, Nishimura A, Baxter S, Goetz K, Hribar M, Toy B, Barkmeier A, Wang S, Swaminathan S, Flowers A, Brown E, Xu B, Chen J, Chen A, Leng T, Boland M, Alshammari T, Bu F, Falconer T, Martin B, Westlund E, Mathioudakis N, Zhang L, Fan R, Wilcox A, Lai A, Stocking JC, Xie Y, Lee LH, Dorr D, Humes I, McCoy D, Adibuzzaman M, Areaux R, Brash J, Weiskopf N, Morgan-Cooper H, Desai P, Tran D, Rustam Z, Zhu G, Swerdel J, Sena A, Nagy P, Suchard M, Schuemie M, Hripcsak G, Ryan P.   +47 more
europepmc   +1 more source

Achieving ACGME Clinical Informatics Fellowship Accreditation: A Chronicle of Our Institution's Journey. [PDF]

Appl Clin Inform
Chamala S, Keefer MS, McGuire T, Diaz L, Luberti AA, Lehmann CU, Schmidt RJ.   +6 more
europepmc   +1 more source