In addition to items mentioned in the protocol: 1) Enroll subjects willing to make all their data (including genomic data, but minus other PHI) open consent. Makes data more accessible and avoids many data management headaches 2) Collect microbiome, PBMCs; use Streck tubes for cell free DNA and RNA 3) Questionaires on food/nutrition and stress should be included 4) Freeze urine and plasma on dry ice ASAP. 5) Ideally also ...more »
Foot amputation is a major problem in diabetics in the south Asia. A small blister or ulcer in the foot can develop into a major complication where the foot/toe needs to be amputated. Due to lack of sensation in the foot, most of the time the injuries are unnoticed. An AI powered solution that involves sensors and certain preliminary tests to prematurely detect the risk of foot amputation in diabetics at an earlier stage ...more »
Research across sociology, psychology, and medicine have found that certain differences in the way doctors speak with patients can improve patient communication about presenting problems, increase patient satisfaction, and even enhance physiological responses to treatment. Collecting transcripts of conversations between patients and their doctors would provide a wealth of qualitative information that could be analyzed ...more »
Musculoskeletal conditions particularly low back pain have been shown to be commonly associated with urinary incontinence throughout the female lifespan. We hypothesize that women with more musculoskeletal pain or injury history will have more LUTS. We postulate that both core muscle and pelvic floor muscle dysfunction contribute to this correlation. We propose to study this in a prospective observational study of women ...more »
Gestational diabetes prevalence is higher among Asian Indians, Filipinos, Southeast Asians, and Chinese compared to White, Black, and Hispanic parturients despite the absence of preconceptional obesity. Dissecting the etiology of elevated GDM risk in these Asian-American subgroups, and evaluating effective interventions (other than weight management) to prevent GDM and reduce future risk of type 2 diabetes are urgently ...more »
Whenever there is an outbreak of an pandemic disease, say "swine flu", everyone gets alarmed on the symptoms to check if they have actually got it. So a chatbot trained with AI to detect the key symptoms and guide the end user to identify if he is at risk or not, would reduce the excitement among patients and also save general physicians time in effectively attending only the actual patients
Circadian clock and/or sleep disruptions have been suggested associated with health and disease outcome. A systematic longitudinal follow up over lifespan is needed to understand the underlining mechanisms. All of Us project could provide such opportunity to evaluate the dynamic relationships of circadian clock and sleep with other multi-level factors, such as, lifestyle (diet, exercise and mental health) and behavior, ...more »
Neighborhoods nominated for testing by underserved, understudied vulnerable persons with environmental injuries and illnesses including toxicant-induced loss of tolerance (TILT), multiple chemical sensitivities, toxicant-induced encephalopathies, myalgic encephalomyelitis (ME), CFS & asthma. Of particular concern on the neighborhood scale are pesticides and hydrophobic organic chemicals -- especially those emitted ...more »
Lipedema is an underdiagnosed or misdiagnosed Adipose Disorder that is often mistaken for Obesity or Lymphedema. It is estimated that 1 out of 9 adult females suffer from this fat disorder that is marked by an abnormal deposition of fat in the lower body that is resistant to diet and exercise. Research into the pathogenesis of Lipedema would lead to better diagnostic methods and treatment modalities. Genetics are thought ...more »
The goal would be to examine how body fat, pre-pregnancy, and activity levels before and during pregnancy were related to pregnancy outcomes (e.g., miscarriage, full-term, low birthweight, etc.) in athletes with a normal or high BMI and normal ovulatory function; prior studies focus solely on BMI, which is often an inaccurate measure for athletes. All of Us should collect data on body fat preconception, physical activity ...more »
The goal of this study is to research underlying causes of health disparities using existing data and novel data sources for example is diagnosis and treatment of diabetes different across ethnic groups, does a1c vary by G6PD genotype and does follow up and a1c target differ by diversity standards.
The goal of this study is to use existing data such as billing codes and laboratory values to predict the presence of a genetic condition before it is diagnosed by traditional medical practice.