Results 171 to 180 of about 57,539 (299)

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

Letter: Gilbert's disease and postanaesthetic jaundice. [PDF]

BMJ, 1974
openaire   +2 more sources

Diagnostic Utility of Next-Generation Sequencing for Unconjugated Hyperbilirubinemia in Children. [PDF]

Pediatr Gastroenterol Hepatol Nutr
Kim HJ.
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Early multimodal rehabilitation and functional outcomes of a left brachial plexus injury after general anesthesia: a case report. [PDF]

Front Rehabil Sci
Jiang Y, Hu S, Yang B, Zhang W, Shu S, Zhang H.   +5 more
europepmc   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

[Case of Gilbert's disease].

Wiadomosci lekarskie (Warsaw, Poland : 1960), 1976
J, Jonek, M, Biskupska-Karasińska, T, Sawaryn, H, Grzybek, B, Panz   +4 more
openaire   +1 more source

Corrigendum to "Examining balance and the likelihood of falls in Huntington's disease". [Clin. Parkinsonism Relat. Dis. 13 (2025) 100399]. [PDF]

Clin Park Relat Disord
Youhanan N, Kaur J, Hall A, Bagga K, Patel S, Sidhu A, Alskaf R, Shaik Z, Gilbert PE, Goble DJ, Corey-Bloom J.   +10 more
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

A virtual One Health Community of practice in West Nile sub-region, Uganda: Implementation experience and participation trends. [PDF]

One Health
Akankwatsa D, Kesande M, Segawa I, Aniku G, Byonanebye D.   +4 more
europepmc   +1 more source