AIMC Topic: Pain
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Profiling Arthritis Pain with a Decision Tree.
Pain practice : the official journal of World Institute of Pain
Nov 20, 2017
BACKGROUND: Arthritis is the leading cause of work disability and contributes to lost productivity. Previous studies showed that various factors predict pain, but they were limited in sample size and scope from a data analytics perspective.
A Multicenter Study of Early Anti-inflammatory Treatment in Patients With Acute Anterior Cruciate Ligament Tear.
The American journal of sports medicine
Oct 7, 2016
BACKGROUND: It is increasingly recognized that biochemical abnormalities of the joint precede radiographic abnormalities of posttraumatic osteoarthritis (PTOA) by as much as decades. A growing body of evidence strongly suggests that the progression f...
Rule based fuzzy logic approach for classification of fibromyalgia syndrome.
Australasian physical & engineering sciences in medicine
May 19, 2016
Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in women, manifesting itself with a widespread pain and impairing the individual's quality of life. FMS diagnosis is made based on the American College of ...
A Simple fMRI Compatible Robotic Stimulator to Study the Neural Mechanisms of Touch and Pain.
Annals of biomedical engineering
Feb 1, 2016
This paper presents a simple device for the investigation of the human somatosensory system with functional magnetic imaging (fMRI). PC-controlled pneumatic actuation is employed to produce innocuous or noxious mechanical stimulation of the skin. Sti...
Relative Bioavailability of a Single Dose of Belimumab Administered Subcutaneously by Prefilled Syringe or Autoinjector in Healthy Subjects.
Clinical pharmacology in drug development
Dec 4, 2015
Intravenous belimumab is approved for the treatment of systemic lupus erythematosus; subcutaneous self-administration would enable greater patient access. This study assessed relative bioavailability, tolerability, and safety of 1 subcutaneous dose o...
Measuring empathy for human and robot hand pain using electroencephalography.
Scientific reports
Nov 3, 2015
This study provides the first physiological evidence of humans' ability to empathize with robot pain and highlights the difference in empathy for humans and robots. We performed electroencephalography in 15 healthy adults who observed either human- o...
Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines.
PloS one
Oct 16, 2015
BACKGROUND: The clinically used methods of pain diagnosis do not allow for objective and robust measurement, and physicians must rely on the patient's report on the pain sensation. Verbal scales, visual analog scales (VAS) or numeric rating scales (N...
Machine learning on encephalographic activity may predict opioid analgesia.
European journal of pain (London, England)
Jun 11, 2015
BACKGROUND: Opioids are used for the treatment of pain. However, 30-50% of patients have insufficient effect to the opioid initially selected by the physician, and there is an urgent need for biomarkers to select responders to the most appropriate dr...
Identification and designing an analgesic opioid cyclic peptide from Defensin 4 of Mesobuthus martensii Karsch scorpion venom with more effectiveness than morphine.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Jul 1, 2025
Considering the limitations of use and side effects of existing analgesics, the discovery of new analgesics is necessary. Venoms of organisms are an important source of analgesic peptides. In this study, using computational biology methods such as mo...
Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment.
Computers in biology and medicine
Jun 1, 2025
The accurate assessment of pain in clinical settings is challenging due to its subjective nature. In this study, we used functional near-infrared spectroscopy (fNIRS) to measure brain activity by detecting changes in blood oxygenation. Leveraging the...
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