Endocrinology

Osteoporosis

Latest AI and machine learning research in osteoporosis for healthcare professionals.

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A Laser-Driven Microrobot for Thermal Stimulation of Single Cells.

Here, the study presents a thermally activated cell-signal imaging (TACSI) microrobot, capable of ph...

Opportunistic Screening: Scientific Expert Panel.

Radiologic tests often contain rich imaging data not relevant to the clinical indication. Opportunis...

Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?

There is widespread use of dietary supplements, some prescribed but many taken without a physician's...

A deep learning-based automated image analysis for histological evaluation of broiler pectoral muscle.

Global market demand for chicken breast muscle with high yield and quality, together with the high i...

Targeting operational regimes of interest in recurrent neural networks.

Neural computations emerge from local recurrent neural circuits or computational units such as corti...

FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications.

Miniaturized calcium imaging is an emerging neural recording technique that has been widely used for...

Artificial intelligence in coronary artery calcium measurement: Barriers and solutions for implementation into daily practice.

Coronary artery calcification (CAC) measurement is a valuable predictor of cardiovascular risk. Howe...

Deep-Learning-Based Detection of Vertebral Fracture and Osteoporosis Using Lateral Spine X-Ray Radiography.

Osteoporosis and vertebral fractures (VFs) remain underdiagnosed. The addition of deep learning meth...

High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.

Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assess...

Learnable latent embeddings for joint behavioural and neural analysis.

Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability...

Effective and efficient neural networks for spike inference from calcium imaging.

Calcium imaging provides advantages in monitoring large populations of neuronal activities simultane...

Realizing Molecular Machine Learning through Communications for Biological AI: Future Directions and Challenges.

Artificial Intelligence (AI) and Machine Learning (ML) are weaving their way into the fabric of soci...

Robot-Assisted Kyphoplasty versus Fluoroscopy-Assisted Kyphoplasty: A Meta-Analysis of Postoperative Outcomes.

Osteoporotic vertebral compression fractures are the most common manifestation of osteoporosis. Perc...

Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology.

In this article, the optimization of the specific urease activity (SUA) and the calcium carbonate (C...

Deep learning for automatic mandible segmentation on dental panoramic x-ray images.

Many studies in the last decades have correlated mandible bone structure with systemic diseases like...

Discovery of ANO1 Inhibitors based on Machine learning and molecule docking simulation approaches.

Calcium-activated chloride channels (CaCCs) are chloride channels that are regulated according to in...

Advances in materials-based therapeutic strategies against osteoporosis.

Osteoporosis is caused by the disruption in homeostasis between bone formation and bone resorption. ...

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