Health Risk Prediction

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  Co occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

  • Published on: March, 2019
  • Max Strobel
  • Code Available

  Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets. The most cruc ...

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  Heart Segmentation From MRI Scans Using Convolutional Neural Network

  • Published on: November, 2019
  • Muhammad Usman, Shakeel Muhammad Ibrahim,  Imran Naseem, Muhammad Sohail Ibrahim, Muhammad Moinuddin
  • Code Available

  Heart is essential organ of human body. For patients having cardiovascular diseases(CVD), it is important to monitor physiology of heart effectively. ...

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  Attend and Predict-Understanding Gene Regulation by Selective Attention on Chromatin

  • Published on: May, 2018
  • Jack Lanchantin, Ritambhara Singh, Arshdeep Sekhon, Yanjun Qi
  • Code Available

  AttentiveChrome is an attention-based deep learning model that uses histone modification signals covering the gene’s neighboring DNA region of Transcr ...

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  Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

  • Published on: May, 2020
  • Paul Morrison, Mahsa Hoshmand-Kochi, Beiyi Shen, Joseph Paul Cohen, Marzyeh Ghassemi, Karsten Roth, Lan Dao, H...
  • Code Available

  Model predicts severity score for COVID-19 pneumonia for frontal chest X-ray images. The ability to gauge severity of COVID-19 lung infections can be ...

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  Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease

  • Published on: December, 2019
  • Weicheng Zhu, Narges Razavian
  • Code Available

  Detecting Alzheimer’s in pre-symptomatic stages can play a crucial role in treating Alzheimer's patients.This model is an approach to predict Alzheim ...

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  Predicting mRNA Abundance Directly from Genomic Sequence using Deep Convolutional Neural Networks

  • Published on: June, 2020
  • Jay Shendure, Vikram Agarwal
  • Code Available

  The model shows that mRNA abundance can be predicted from promoter sequence alone using deep neural networks. The residuals of these predictions make ...

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  Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients

  • Published on: July, 2020
  • William Parker, Paolo Emilio Barbano, Keegan Lensink, Marco Law, Issam Laradji, Savvas Nicolaou, Eldad Haber
  • Code Available

  A form of pneumonia, presenting as opacities with in a patient’s lungs, is the most common presentation associated with the COVID-19 virus, and great ...

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  Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks

  • Published on: September, 2020
  • David Kelley
  • Code Available

  The complex language of eukaryotic gene expression remains incompletely understood. Thus, most of the many noncoding variants statistically associated ...

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  BABEL enables Cross-modality Translation between Multiomic Profiles at Single-cell Resolution

  • Published on: November, 2020
  • Kevin E. Wu, Kathryn E. Yost, Howard Y. Chang and James Zoua

  BABEL is a deep learning model written in Python designed to translate between mutliple single cell modalities. It is designed to translate between sc ...

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  Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records

  • Published on: August, 2021
  • Nan Liu, Mingrui Tan, Feng Xie, Marcus Eng Hock Ong, Jun Zhou, Alon Dagan, Fei Gao, Bibhas Chakraborty, Marcel...
  • Code Available

  There is a continuously growing demand for emergency department (ED) services across the world, especially under the COVID-19 pandemic. Risk triaging ...