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Found 13 papers, 3 papers with code
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
In digital pathology, the multiple instance learning (MIL) strategy is widely used in the weakly supervised histopathology whole slide image (WSI) classification task where giga-pixel WSIs are only labeled at the slide level.
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction
Class imbalance problems widely exist in the medical field and heavily deteriorates performance of clinical predictive models.
Unraveling Key Elements Underlying Molecular Property Prediction: A Systematic Study
Herein, we conduct an extensive evaluation of representative models using various representations on the MoleculeNet datasets, a suite of opioids-related datasets and two additional activity datasets from the literature.
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Deep-learning-based clinical decision support using structured electronic health records (EHR) has been an active research area for predicting risks of mortality and diseases.
Artificial Intelligence in Drug Discovery: Applications and Techniques
Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade.
Selective Knowledge Distillation for Neural Machine Translation
As an active research field in NMT, knowledge distillation is widely applied to enhance the model's performance by transferring teacher model's knowledge on each training sample.
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding
The early detection of CKD faces challenges of insufficient medical histories of positive patients and complicated risk factors.
Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning
Identifying patients at high risk of Opioid Use Disorder (OUD) can help to make early clinical interventions to reduce the risk of OUD.
Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Naloxone, an opioid antagonist, has been widely used to save lives from opioid overdose, a leading cause for death in the opioid epidemic.
Liver Steatosis Segmentation with Deep Learning Methods
Liver steatosis is known as the abnormal accumulation of lipids within cells.
Disease phenotyping using deep learning: A diabetes case study
Characterization of a patient clinical phenotype is central to biomedical informatics.
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images
Cellular phenotypic features derived from histopathology images are the basis of pathologic diagnosis and are thought to be related to underlying molecular profiles.
Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images
We validate our method with isolated and overlapped steatosis regions in liver tissue images of 11 patients.
