AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

STreeD: Separable Trees with Dynamic programming

STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...
Scientific Research Publishing

Multimodal Radiomics Combined with Multidimensional Clinical Data for Predicting 1-Year Outcomes after Carotid Artery Stenting in Patients with Carotid Stenosis: A Single ...

1 Department of Neurology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China. 2 Department of Neurology, Wuhan First Hospital, Wuhan, China. Objective: To explore the feasibility of ...
Nature

Multidimensional factors of health-related quality of life in parkinson’s disease using ensemble learning and network analysis

Parkinson’s disease (PD) causes motor, non-motor, and mental health challenges that significantly impact health-related quality of life (HRQoL); however, previous studies relied on subjective ...
eLife

A high-throughput approach for the efficient prediction of perceived similarity of natural objects

The authors show that an automated approach using artificial neural networks, which focuses on behaviourally relevant dimensions, can predict human similarity data up to a certain level of granularity ...
Scientific Research Publishing

Advancing Material Stability Prediction: Leveraging Machine Learning and High-Dimensional Data for Improved Accuracy ()

Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density Functional ...
ahajournals.org

Three-Dimensional Curvature of the Cervical Carotid Artery Predicts Long-Term Neurovascular Risk in Loeys-Dietz Syndrome

Although the relationship between cervical carotid tortuosity and cardiovascular risk in patients with Loeys-Dietz syndrome has been studied, it is unclear whether cervical carotid tortuosity ...
Nature

A python approach for prediction of physicochemical properties of anti-arrhythmia drugs using topological descriptors

Arrhythmia is an irregular heartbeat that is either too fast (tachycardia), too slow (bradycardia) or erratic. This disruption to the smooth flow of heart activity can obstruct blood circulation, ...
The Lancet

Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma ...

aDepartment of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, Shandong, China bNHC Key Laboratory of Otorhinolaryngology (Shandong University), Jinan, Shandong, China cDepartment of ...
leewayhertz

Deep learning: Models, enterprise applications, benefits, use cases, implementation and development

In today’s data-driven world, enterprises face numerous challenges in extracting insights from data for informed decision making. Traditional approaches often fall short when handling the complexity ...