AIMC Topic: Drug Administration Schedule

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Predicting Individual Treatment Effects to Determine Duration of Dual Antiplatelet Therapy After Stent Implantation.

Journal of the American Heart Association Sep 30, 2024
BACKGROUND: After coronary stent implantation, prolonged dual antiplatelet therapy (DAPT) increases bleeding risk, requiring personalization of DAPT duration. The aim of this study was to develop and validate a machine learning model to predict optim...
Male Middle Aged Risk Assessment Time Factors Machine Learning Female Risk Factors Aged Drug Administration Schedule Platelet Aggregation Inhibitors Drug-Eluting Stents Dual Anti-Platelet Therapy Treatment Outcome Percutaneous Coronary Intervention Coronary Artery Disease Hemorrhage Humans
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Optimal STI controls for HIV patients based on an efficient deep Q learning method.

Journal of theoretical biology Aug 5, 2024
We investigate an efficient computational tool to suggest useful treatment regimens for people infected with the human immunodeficiency virus (HIV). Structured treatment interruption (STI) is a regimen in which therapeutic drugs are periodically admi...
Humans Algorithms Computer Simulation Deep Learning HIV Infections Anti-HIV Agents Drug Administration Schedule
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A deep-learning approach to predict bleeding risk over time in patients on extended anticoagulation therapy.

Journal of thrombosis and haemostasis : JTH Apr 19, 2024
BACKGROUND: Thus far, all the clinical models developed to predict major bleeding in patients on extended anticoagulation therapy use the baseline predictors to stratify patients into different risk groups. Therefore, these models do not account for ...
Humans Aged, 80 and over Male Middle Aged Risk Assessment Neural Networks, Computer Female Risk Factors Aged Predictive Value of Tests Anticoagulants Hemorrhage Drug Administration Schedule Deep Learning Time Factors Treatment Outcome Longitudinal Studies
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Tacrolimus Exposure Prediction Using Machine Learning.

Clinical pharmacology and therapeutics Jan 18, 2021
The aim of this work is to estimate the area-under the blood concentration curve of tacrolimus (TAC) following b.i.d. or q.d. dosing in organ transplant patients, using Xgboost machine learning (ML) models. A total of 4,997 and 1,452 TAC interdose ar...
Tacrolimus Models, Biological Drug Administration Schedule Immunosuppressive Agents Area Under Curve Bayes Theorem Organ Transplantation Humans Machine Learning
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Early response to SPN-812 (viloxazine extended-release) can predict efficacy outcome in pediatric subjects with ADHD: a machine learning post-hoc analysis of four randomized clinical trials.

Psychiatry research Jan 5, 2021
Machine learning (ML) was used to determine whether early response can predict efficacy outcome in pediatric subjects with ADHD treated with SPN-812. We used data from four Phase 3 placebo-controlled trials of 100- to 600-mg/day SPN-812 (N=1397; 6-17...
Clinical Trials as Topic Drug Administration Schedule Central Nervous System Stimulants Delayed-Action Preparations Attention Deficit Disorder with Hyperactivity Viloxazine Dose-Response Relationship, Drug Randomized Controlled Trials as Topic Double-Blind Method Body Weight Child Treatment Outcome Humans Body Mass Index Machine Learning Female Male Adolescent
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Computational modeling of the monoaminergic neurotransmitter and male neuroendocrine systems in an analysis of therapeutic neuroadaptation to chronic antidepressant.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology Dec 9, 2019
Second-line depression treatment involves augmentation with one (rarely two) additional drugs, of chronic administration of a selective serotonin reuptake inhibitor (SSRI), which is the first-line depression treatment. Unfortunately, many depressed p...
Selective Serotonin Reuptake Inhibitors Biogenic Monoamines Neuroendocrine Cells Humans Hydrocortisone Neural Networks, Computer Drug Administration Schedule Male Antidepressive Agents Testosterone Neurotransmitter Agents
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Artificial Intelligence in Drug Treatment.

Annual review of pharmacology and toxicology Jul 26, 2019
The most common applications of artificial intelligence (AI) in drug treatment have to do with matching patients to their optimal drug or combination of drugs, predicting drug-target or drug-drug interactions, and optimizing treatment protocols. This...
Humans Artificial Intelligence Precision Medicine Models, Theoretical Pharmaceutical Preparations Drug Interactions Drug Administration Schedule
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Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation.

The spine journal : official journal of the North American Spine Society Jun 9, 2019
BACKGROUND CONTEXT: Spine surgery has been identified as a risk factor for prolonged postoperative opioid use. Preoperative prediction of opioid use could improve risk stratification, shared decision-making, and patient counseling before surgery.
Orthopedic Procedures Lumbar Vertebrae Analgesics, Opioid Intervertebral Disc Displacement Drug Administration Schedule Middle Aged Retrospective Studies Case-Control Studies Female Logistic Models Adult Pain, Postoperative Humans Male Machine Learning
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Supplementation with long-acting progesterone in early diestrus in beef cattle: II. Relationships between follicle growth dynamics and luteolysis.

Domestic animal endocrinology Dec 19, 2018
The aims were to characterize follicular dynamics in response to supplemental progesterone (P4) and to investigate the relationships between follicular growth and onset of luteolysis in P4-treated cows, submitted or not to artificial insemination (AI...
Luteolysis Progesterone Ovarian Follicle Female Insemination, Artificial Animals Drug Administration Schedule Cattle Diestrus
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Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.

The Journal of thoracic and cardiovascular surgery Dec 13, 2018
OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the programmed cell death protein 1 checkpoint receptor, in patients with resectable non-small cell lung cancer. We analyzed perioperative outcomes to assess t...
Pneumonectomy Thoracic Surgery, Video-Assisted Humans Nivolumab Lung Neoplasms Aged Female Drug Administration Schedule Combined Modality Therapy Neoadjuvant Therapy Thoracotomy Aged, 80 and over Carcinoma, Non-Small-Cell Lung Male Antineoplastic Agents, Immunological Middle Aged
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