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Early Dectection

Illnesses like infections, cold, influenza and so on in type 1 diabetes mellitus (T1DM) patients, can compromise the daily patient administered diabetes treatment. This in turn may result in fluctuating blood glucose concentrations, especially hyperglycemia for prolonged periods, which over time can cause serious late complications. The illness prediction project at Tromsø Telemedicine Laboratory aims to construct a prediction model that, through use of patient observable parameters, for example, blood glucose, insulin injections and body temperature, can significantly identify risk of developing illnesses, before onset of symptoms and before illness onset.

Such a model could potentially enable T1DM patients to fight the illnesses, and prepare for an adequate change in the T1DM-management earlier on.

 

Objective

To develop an illness prediction model that can predict illness in T1DM patients before onset of symptoms, using the patient’s observable parameters.

Referenced File
Submitted by hparton on

Data collected at livestock slaughter can be a useful source of non-specific health indicators including clinical signs, symptoms and proxy measures [1]. When monitored in near real-time, this data can enable the detection of both livestock and human health threats [1]. In the United States (US), the Federal Meat Inspection Act requires ante-mortem inspection of animals and post-mortem inspection of carcasses by veterinarians to ensure the meat product will be fit for human consumption [2]. Inspections are carried out by the United States Department of Agriculture (USDA) Food Safety Inspection Service (FSIS) and results are recorded in the Public Health Information System (PHIS), including the reason for condemnation if the animal or carcass is deemed unfit. Since April 2016 the USDA, Animal and Plant Health Inspection Service (APHIS), Veterinary Services (VS) has used data from the PHIS to monitor changes in the weekly count/rate of cattle condemnations for three cattle types, beef cows, dairy cows, and fed cattle (steers and heifers), and for selected condemnation reasons (central nervous system (CNS), dead, emaciation, mastitis, moribund, pneumonia, pyrexia, and septicemia). These eight reasons were chosen from 45 potential reasons recorded at condemnation as likely to identify clinical signs associated with foreign animal diseases of interest and to monitor trends in important animal health issues such as pneumonia and mastitis.

Objective: Use United States cattle slaughter condemnation data as an animal health indicator for early detection of health events and to characterize trends in condemnation reasons.

Submitted by elamb on
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