Cases

1,138 of 1,138 verified cases. Looking for something specific? Use search.

• Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction

  Cardiovascular disease, the leading global cause of death, needed better risk identification from accessible data.

  Medicine & Health · 2023 · ai assisted · 10/10 importance

• A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach

  Accurate early prediction of stroke is needed to enable timely treatment, but medical data is imbalanced.

  Medicine & Health · 2022 · partially solved · 10/10 importance

• Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning

  Cardiovascular disease often goes undiagnosed until serious events; non-invasive diagnosis from retinal images and DXA scans was lacking in Qatar.

  Medicine & Health · 2022 · partially solved · 10/10 importance

• Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization

  Detecting tuberculosis accurately and early from chest X-ray images, since late diagnosis can be life-threatening.

  Medicine & Health · 2020 · ai assisted · 10/10 importance

• A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases

  Cardiovascular disease is the leading cause of death worldwide (~17.9 million deaths/year), and early detection, prediction and monitoring are needed.

  Medicine & Health · 2023 · partially solved · 10/10 importance

• Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential

  Predicting and managing COVID-19 disease severity was difficult, and mechanisms underlying severity were unclear.

  Medicine & Health · 2021 · partially solved · 10/10 importance

• Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model

  Forecasting the 60-day trajectory of total COVID-19 infections in the USA, Brazil, India and Russia to support pandemic planning.

  Medicine & Health · 2020 · ai assisted · 10/10 importance

• Evolutionary-scale prediction of atomic-level protein structure with a language model

  Predicting the 3D structures of the exponentially growing catalog of protein sequences was too slow with existing methods, requiring a breakthrough in folding speed.

  Biology & Life Sciences · 2023 · solved · 9/10 importance

• AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

  Structural coverage of known protein-sequence space was limited; the paper delivers an openly accessible database of high-accuracy predicted protein structures.

  Biology & Life Sciences · 2021 · solved · 9/10 importance

• Accurate prediction of protein structures and interactions using a three-track neural network

  Predicting accurate 3D protein structures and protein-protein complexes from sequence information alone remained a major challenge.

  Biology & Life Sciences · 2021 · solved · 9/10 importance

• De novo design of protein structure and function with RFdiffusion

  Designing new proteins with specified structures and functions (binders, symmetric assemblies, enzyme scaffolds) lacked a general deep-learning framework.

  Biology & Life Sciences · 2023 · solved · 9/10 importance

• Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment

  Fast, reliable diagnosis of COVID-19 from chest CT scans and X-ray images was needed during the pandemic.

  Medicine & Health · 2021 · ai assisted · 9/10 importance

• Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques

  Predicting cardiovascular disease from clinical data to support earlier decisions and interventions.

  Medicine & Health · 2019 · ai assisted · 9/10 importance

• SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting

  Forecasting the number of newly infected people one to four weeks ahead during the COVID-19 epidemic is hard because government policies change over time.

  Medicine & Health · 2022 · partially solved · 9/10 importance

• Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning

  Public health needs early prediction of new SARS-CoV-2 variant surges to prepare for immune escape and increased transmissibility.

  Medicine & Health · 2022 · partially solved · 9/10 importance

• Structure Prediction and Computational Protein Design for Efficient Biocatalysts and Bioactive Proteins

  Predicting protein structures and designing functional proteins (efficient biocatalysts, bioactive proteins) is key to medicine, diagnostics and sustainable chemical manufacture. The paper reviews computational tools addressing this.

  Biology & Life Sciences · 2024 · ai assisted · 9/10 importance

• MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis

  Sepsis kills about 5.4 million people worldwide each year and costs over 16 billion dollars in the USA alone, and early detection in hospitals is difficult.

  Medicine & Health · 2021 · ai assisted · 9/10 importance

• An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning

  Healthcare systems under pandemic pressure needed fast, early assessment of COVID-19 patient severity to allocate resources and reduce mortality.

  Medicine & Health · 2021 · ai assisted · 9/10 importance

• Deep Learning Based Lung Cancer Detection and Classification

  Lung cancer must be detected early from CT scans, since late diagnosis sharply reduces survival rates.

  Medicine & Health · 2020 · partially solved · 9/10 importance

• Detection and analysis of COVID-19 in medical images using deep learning techniques

  Rapid, automatic detection of COVID-19 from X-ray and CT medical images.

  Medicine & Health · 2021 · ai assisted · 9/10 importance

• Deep learning approaches for breast cancer detection in histopathology images: A review

  Detecting and classifying breast cancer from histopathology images automatically, since manual analysis is essential but challenging.

  Medicine & Health · 2024 · partially solved · 9/10 importance

• A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

  During the COVID-19 pandemic, clinicians needed rapid automatic diagnosis from medical imaging such as CT and X-ray.

  Medicine & Health · 2021 · ai assisted · 9/10 importance

• Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging

  COVID-19 testing demand overwhelmed capacity; RT-PCR is definitive but chest X-ray is fast and affordable, so AI detection of COVID-19 from CXR images was investigated.

  Medicine & Health · 2020 · partially solved · 9/10 importance

• Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals

  Heartbeat events need accurate classification from single- or multi-lead ECG signals to support cardiovascular disease screening and diagnosis.

  Medicine & Health · 2020 · ai assisted · 9/10 importance