AIMC Topic: Analgesics

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Co-cultured sensory neuron classification using extracellular electrophysiology and machine learning approaches for enhancing analgesic screening.

Journal of neural engineering
Chronic pain affects over 20% of the adult population in the United States, posing a substantial personal as well as economic burden and contributing to the ongoing opioid crisis. Effective, non-addictive chronic pain treatments are urgently needed. ...

Development and In Vivo evaluation of liposomal fentanyl nanocarriers using thin-film hydration and AI-based characterization for enhanced analgesic efficacy in anesthesia.

Scientific reports
The aim of this study was to develop and evaluate a liposomal formulation of fentanyl to improve its analgesic efficacy and safety profile in anesthesia, using artificial intelligence (AI) techniques to characterize and optimize the formulation. The ...

Synergistic analgesic effects of astaxanthin combined with celecoxib on a mouse bone cancer pain model: From behavioral validation to target prediction.

International immunopharmacology
Bone cancer pain (BCP) is a complex condition that severely affects patients' quality of life, and its treatment remains challenging. Astaxanthin, a potent antioxidant with anti-inflammatory and neuroprotective effects, and celecoxib, a selective COX...

Assessing GPT-4's accuracy in answering clinical pharmacological questions on pain therapy.

British journal of clinical pharmacology
AIMS: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical ...

Analysis of User-Generated Posts on Social Media of Adjuvant Analgesics: A Machine Learning Study.

International journal of medical sciences
Antiepileptics and antidepressants are frequently prescribed for chronic pain, but their efficacy and potential adverse effects raise concerns, including dependency issues. Increased prescriptions, sometimes fraudulent, prompted reclassification of ...

Analgesic effect of the ultrasound-guided thoracolumbar paravertebral block in patients undergoing robot-assisted laparoscopic nephrectomy: a randomized controlled trial.

BMC anesthesiology
BACKGROUND: Paravertebral block has similar effect as epidural anesthesia, and has good somatic and visceral analgesic effect. Paravertebral block is widely used in thoracic surgery, but rarely used in abdominal surgery.

Applications of Artificial Intelligence in Pain Medicine.

Current pain and headache reports
PURPOSE OF REVIEW: This review explores the current applications of artificial intelligence (AI) in the field of pain medicine with a focus on machine learning.

Perioperative analgesic efficacy of lumbar erector spinae plane block in dogs undergoing hemilaminectomy: a randomized blinded clinical trial.

Veterinary anaesthesia and analgesia
OBJECTIVE: To evaluate the perioperative analgesic effect of the unilateral lumbar erector spinae plane block (ESPB) in dogs undergoing hemilaminectomy.

Development of a spontaneous pain indicator based on brain cellular calcium using deep learning.

Experimental & molecular medicine
Chronic pain remains an intractable condition in millions of patients worldwide. Spontaneous ongoing pain is a major clinical problem of chronic pain and is extremely challenging to diagnose and treat compared to stimulus-evoked pain. Although extens...

Cutoff criteria for the placebo response: a cluster and machine learning analysis of placebo analgesia.

Scientific reports
Computations of placebo effects are essential in randomized controlled trials (RCTs) for separating the specific effects of treatments from unspecific effects associated with the therapeutic intervention. Thus, the identification of placebo responder...