Bioinformatics | Biomarker Discovery | Proteomics Artificial intelligence for proteomics and biomarker discovery. August 19, 2021
Bioinformatics | Oncology | Proteomics DeepSec: a deep learning framework for secreted protein discovery in human body fluids. August 16, 2021
Cardiology A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach. June 2, 2021
Bioinformatics | Oncology | Translational Medicine Proteomic Profiling and Artificial Intelligence for Hepatocellular Carcinoma Translational Medicine. February 10, 2021
Biomedical imaging | Oncology | Pathology Channel Embedding for Informative Protein Identification from Highly Multiplexed Images. December 7, 2020
Bioinformatics | Computational Biology | Metabolomics Deep learning meets metabolomics: a methodological perspective. September 17, 2020
Drug Discovery | Oncology Current Advances and Limitations of Deep Learning in Anticancer Drug Sensitivity Prediction. July 10, 2020
Oncology | Proteomics A Deep Learning-Based Tumor Classifier Directly Using MS Raw Data. July 9, 2020
Medical Imaging | Radiology LOCALIZING IMAGE-BASED BIOMARKER REGRESSION WITHOUT TRAINING MASKS: A NEW APPROACH TO BIOMARKER DISCOVERY. May 26, 2020
Bioinformatics | Data Science | Metabolomics NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data. March 24, 2020
Bioinformatics | Chemistry | Data Science Peak alignment of gas chromatography-mass spectrometry data with deep learning. September 6, 2019
Ophthalmology Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. June 6, 2019