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Prescriptions

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

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Showing 379-399 of 6,756 articles
Insights into phosphorylation-induced influences on conformations and inhibitor binding of CDK6 through GaMD trajectory-based deep learning.

The phosphorylation of residue T177 produces a significant effect on the conformational dynamics of ...

Soil and crop interaction analysis for yield prediction with satellite imagery and deep learning techniques for the coastal regions.

Crop yield is a significant factor in world income and poverty alleviation as well as food productio...

Enhanced diagnosis of multi-drug-resistant microbes using group association modeling and machine learning.

New solutions are needed to detect genotype-phenotype associations involved in microbial drug resist...

SS-DTI: A deep learning method integrating semantic and structural information for drug-target interaction prediction.

Drug-target interaction (DTI) prediction is pivotal in drug discovery and repurposing, providing a m...

NNSFMDA: Lightweight Transformer Model with Bounded Nuclear Norm Minimization for Microbe-Drug Association Prediction.

Identifying potential connections between microbe-drug pairs play an important role in drug discover...

Leveraging Transfer Learning for Predicting Protein-Small-Molecule Interaction Predictions.

A complex web of intermolecular interactions defines and regulates biological processes. Understandi...

Towards AI-Powered Applications: The Development of a Personalised LLM for HRI and HCI.

In this work, we propose a novel Personalised Large Language Model (PLLM) agent, designed to advance...

Development of an artificial intelligence-enhanced warfarin interaction checker platform.

Warfarin is a common anticoagulant drug for thrombo-prophylaxis in stroke and venous thromboembolism...

Leveraging artificial intelligence to assess the impact of COVID-19 on the teacher-student relationship in higher education.

The teacher-student relationship has far-reaching implications for educational outcomes at the terti...

Analysis of responses from artificial intelligence programs to medication-related questions derived from critical care guidelines.

DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online...

Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning-Based Advanced Perspectives.

Mental disorders are a representative type of brain disorder, including anxiety, major depressive de...

Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia.

BACKGROUND: Medication adherence plays a crucial role in determining the health outcomes of patients...

A novel deep sequential learning architecture for drug drug interaction prediction using DDINet.

Drug drug Interactions (DDI) present considerable challenges in healthcare, often resulting in adver...

Deep image features sensing with multilevel fusion for complex convolution neural networks & cross domain benchmarks.

Efficient image retrieval from a variety of datasets is crucial in today's digital world. Visual pro...

Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.

Hypertension presents the largest modifiable public health challenge due to its high prevalence, its...

Proteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia.

Anesthetics are crucial in surgical procedures and therapeutic interventions, but they come with sid...

Artificial intelligence in anti-obesity drug discovery: unlocking next-generation therapeutics.

Obesity, a multifactorial disease linked to severe health risks, requires innovative treatments beyo...

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