Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 39,521 to 39,530 of 223,737 articles

Training instabilities favor flatter solutions in gradient descent.

Neural networks : the official journal of the International Neural Network Society Mar 23, 2026
Classical analyses of gradient descent (GD) define a stability threshold based on the largest eigenvalue of the loss Hessian, often termed sharpness. When the learning rate lies below this threshold, training is stable and the loss decreases monotoni... read more 

A platform to design and optimise fluorogenic scFvs for detection of interleukin 33.

Chemical science Mar 23, 2026
Direct measurement of interleukin-33 (IL-33) in biological systems is critical for understanding its role in inflammatory diseases. In this work, we have developed a platform for the discovery and optimisation of fluorogenic biosensors that are built... read more 

Multimodal biomarker AI techniques for early neurocognitive disorder diagnosis: A systematic review.

Artificial intelligence in medicine Mar 23, 2026
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and related dementias remains challenging because no single biomarker sufficiently captures the complex and multifactorial nature of the underlying pathology. In recent years, multimodal artific... read more 

Artificial intelligence resolves transboundary water conflicts under climate uncertainty.

Water research Mar 23, 2026
Sustainable transboundary water management is increasingly compromised by climate-induced deep uncertainty, as traditional open-loop strategies fail to adapt to non-stationary hydrological shifts and physical propagation time-lags. To overcome these ... read more 

An attention fusion of Fourier-analysis-based transformer and CNN-BiLSTM for coastal inorganic nitrogen concentration forecasts.

Water research Mar 23, 2026
Accurate forecasting of coastal inorganic nitrogen is critical for mitigating harmful algal blooms but remains challenging due to prevalent data gaps and skewed concentration distributions. This study proposes AFTB, a novel deep learning architecture... read more 

M3SPCL: Multi-stage multi-grained multi-view supervised prototypical contrastive learning.

Neural networks : the official journal of the International Neural Network Society Mar 23, 2026
Most existing multi-view learning methods enhance performance by exploiting view complementarity through multi-stage fusion and enforcing consistency via representation alignment. However, they are largely confined to instance-level modeling and fail... read more 

Physics-based machine learning for enhanced drug formulation development.

Journal of controlled release : official journal of the Controlled Release Society Mar 23, 2026
Formulation design is constrained by scarce and heterogeneous experimental data, which limits the accuracy and generalizability of conventional AI models. Here, we introduce a physics-based machine learning (PBML) approach that integrates physics-bas... read more 

Developing a machine learning-based predictive model for depression risk in patients with cardiovascular diseases.

Journal of affective disorders Mar 23, 2026
BACKGROUND: Cardiovascular Diseases (CVD) are frequently comorbid with depression, significantly affecting patient prognosis and quality of life. This study aimed to develop and validate a prediction model using Machine Learning (ML) for estimating c... read more 

Machine learning models for detecting suicidal ideation in Chinese in-patients with major depressive disorder: A single-centre retrospective study.

Journal of affective disorders Mar 23, 2026
UNLABELLED: Suicide claims >720,000 lives annually; major depressive disorder (MDD) carries the highest population-attributable risk. Suicidal ideation (SI), the most proximal modifiable predictor of attempt,is poorly captured by subjective scales. W... read more 

Predicting suicidal ideation from depression screening data: A network-augmented machine learning approach.

Journal of affective disorders Mar 23, 2026
BACKGROUND: Suicidal ideation is often assessed using a single self-report item in routine screening. We developed a model that combines machine learning with symptom-network analytics to infer an auxiliary signal relevant to suicidal ideation from r... read more 
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