[free after 18 months, from 1965] The Journal of Wildlife Diseases publishes the results of original research and observations dealing with all aspects of infectious, parasitic, toxic, nutritional, physiologic, developmental and neoplastic diseases, environmental contamination, and other factors impinging on the health and survival of free-living or captive populations of wild animals, including fish. Papers on zoonoses involving wildlife and on chemical immobilization of wild animals are published also. Manuscripts dealing with surveys and case reports may be published in the Journal provided that they contain significant new information or have significance for better understanding health and disease in wild populations. Authors are encouraged to address the wildlife management implications of their studies, where appropriate.
Researchers say circulating mononuclear cells (the largest type of white blood cell) and lymphocytes, exist in a proinflammatory state in obese persons known to be at increased risk of developing heart disease, diabetes, or both.
The cellular and extracellular matrix accumulations that comprise the lesions of atherosclerosis are driven by local release of cytokines at sites of predilection for lesion formation, and by the specific attraction and activation of cells expressing rece
Angiographic pattern of in-stent restenosis (ISR) after drug-eluting stent (DES) implantation different to that after bare metal stent (BMS), but their subsequent TLR rate was similar to both types of DES.
Drug-eluting stents (DES) have gained widespread adoption being implanted in over 6 million patients worldwide demonstrating significant improvements in clinical efficacy combined with comparable safety to bare metal stents.
Modern cardiology has given up on curing heart disease. Its aggressive interventions-- coronary artery bypass graft, atherectomy, angioplasty, and stenting--do not reduce the frequency of new heart attacks or prolong survival except in small subsets of pa
Sai, Jemeema, Mallu, and Puli. International Journal of Innovative Research in Information Security, 9 (2):
07-09(May 2023)1 Iqra Nissar; Waseem Ahmad Mir; Izharuddin; Tawseef Ayoub Shaikh.” Machine Learning Approaches for Detection and Diagnosis of Parkinson’s Disease”. 2021 IEEE. https://doi.org/10.1109/icaccs51430.2021.9441885 2 Pooja Raundale; Chetan Thosar; Shardul Rane.” Prediction of Parkinson’s disease and severity of the disease using Machine Learning and Deep Learning algorithm”.2021 IEEE. https://doi.org/10.1109/incet51464.2021.9456292 3 Son V T Dao “An Analysis of Vocal Features for Parkinson’s Disease Classification Using Evolutionary Algorithms” 2022. 4 Mohammed S Islam “Parkinson’s Disease Prediction Using Machine Learning” 2020..