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The X-linked Foxp3 is a member of the forkhead/winged helix transcription factor family. Germline mutations cause lethal autoimmune diseases in males. Serendipitously, we observed that female mice heterozygous for the "scurfin" mutation of the Foxp3 gene (Foxp3(sf/+)) developed cancer at a high rate. The majority of the cancers were mammary carcinomas in(More)
Breast cancer (BC) patients need traditional treatment as well as long term monitoring through an adaptive feedback-oriented treatment mechanism. Here, we present the findings of our 31-week long field study and deployment of e-ESAS - the first mobile-based remote symptom monitoring system (RSMS) developed for rural BC patients where patients are the prime(More)
The concept of target strength and its application to the quantitative assessment of fishery resources are discussed. Methods of determining the echo characteristics of fish are reviewed and a number of results presented. Among the more important of these results are: (1) practically every case of interest to the fishing industry is in an acoustic region in(More)
Healthcare facility is scarce for rural women in the developing world. The situation is worse for patients who are suffering from diseases that require long-term feedback-oriented monitoring such as breast cancer. Lack of motivation to go to the health centers on patients’ side due to sociocultural barriers, financial restrictions and transportation hazards(More)
In this paper, we present e-ESAS, a mobile phone based remote monitoring tool for patients with palliative care need, carefully designed for developing countries. Most of the current remote monitoring systems are complex, obtrusive and expensive resulting in a system unsuitable to deploy in low-income countries. We here describe evolution and performance of(More)
Timely and accurate information about patients' symptoms is important for clinical decision making such as adjustment of medication. Due to the limitations of self-reported symptom such as pain, we investigated whether facial images can be used for detecting pain level accurately using existing algorithms and infrastructure for cancer patients. For low cost(More)
Physical activities detection plays a vital role to healthcare professionals who would like to monitor patients remotely and to develop context-sensitive systems. Major number of physical activity detection systems use accelerometers to collect data from different parts of the body. Since those approaches have limitations from users' point of view, we have(More)