Publications by authors named "G D Lerman"
Article Synopsis
- Ulnar collateral ligament (UCL) ruptures, common in the thumb, often occur at the distal insertion; partial tears can be managed non-operatively, but complete ruptures typically require surgery due to the risk of a Stener lesion, where the ligament is trapped and can't heal properly.
- A case study highlights a 63-year-old woman with thumb instability and pain, initially misdiagnosed with a Stener lesion, but later found to have granulation tissue instead.
- The patient underwent successful UCL repair and regained full daily activity after six weeks, illustrating the importance of addressing ligament injuries to maintain joint stability and prevent future complications like decreased grip strength or osteoarthritis.
Lactate, or lactic acid, is an end-product of anaerobic metabolism. The build-up of lactate in the body is commonly due to type A lactic acidosis, resulting from an inability to meet the body's oxygen delivery demands. When lactic acidosis persists, other causes need to be ruled out.
View Article and Find Full Text PDFCurrently there are no specific therapies addressing the distinctive biology of human papillomavirus (HPV)-induced cancer approved for clinical use. Short interfering RNA (siRNA) has much potential for therapeutic manipulation of HPV E6/E7 oncoproteins. Lipid-based nanoparticles (LNPs) can be utilized for systemic transportation and delivery of siRNA at target site.
View Article and Find Full Text PDFDeep neural networks learn by using human-selected electrocardiogram features and novel features.
Eur Heart J Digit Health
September 2021
Aims: We sought to investigate whether artificial intelligence (AI) and specifically deep neural networks (NNs) for electrocardiogram (ECG) signal analysis can be explained using human-selected features. We also sought to quantify such explainability and test if the AI model learns features that are similar to a human expert.
Methods And Results: We used a set of 100 000 ECGs that were annotated by human explainable features.