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At least 145 records · Page 8Linked to original sources
PubMed2001

The data sources which may help strengthen the epidemiological evidence for the hormonal hypothesis of sex determination in man.

The hypothesis that parental hormone levels around the time of conception partially control offspring sex ratios-though here taken to be true in substance-will need a great deal of work to specify with any accuracy. We do not know with any certainty which hormones are involved, nor how they are implicated. Answers to these two questions are only likely to emerge after prolonged experimental work. And it is fair to say that that work has not yet started. I assume that experimental workers will not embark on such a project until it is perfectly clear that there is a watertight case that mammalian parental hormone levels somehow influence offspring sex ratios. The present note indicates where further (human) evidence for that case will be found. In regard to human beings, much of the required information is held by clinics and registries not primarily concerned with reproductive biology. This point is illustrated here in regard to toxicology, teratology, radiation medicine, neurology, psychiatry, oncology, dermatology, rheumatology, occupational medicine and sports medicine as well as obstetrics and gynaecology. Tests (based on the hypothesis) are offered for intrauterine endocrine causes of malformations, and for pre- and post-natal endocrine causes of disease.

Congenital Abnormalities↗
PubMed2026

The Progress of Gout Prediction Models Based on Multi-source Data.

INTRODUCTION: Gout, a highly serious inflammatory disease that is caused by monosodium urate crystals, is becoming an increasingly significant health concern. Artificial Intelligence and multi-omics-based research have made significant gains for the early detection and prevention of gout based on diverse approaches. This review intends to summarize current advances in forecasting gout susceptibility and gout-related symptoms, evaluate the predictive efficacy of different features, and ascertain which clinical and omics characteristics are most effective in these prediction models. METHODS: We explored the PubMed database after 2010 using keywords such as "gout", "predictive model", "risk prediction", and "machine learning", and confined our search to Englishlanguage articles. The original peer-reviewed research articles that developed gout models were selected. Research that was not original or lacked internal validation was excluded. RESULTS: Clinical features, genomics, microbiomics, radiomics, and metabolomics have been utilized to construct models related to gout and have demonstrated excellent predictive performance. Multisource data prediction models usually exhibit better effectiveness. DISCUSSION: Gout-oriented models performed excellently in predictive performance but present limitations in certain clinical and omics domains. However, if they are to affect actual patient care, they must overcome some external confirmation roadblocks and the fiscal and practical implications they will face ahead of time. CONCLUSION: This review indicates that clinical and multi-omics models of gout are significant instruments for clinical decision-making. The models constructed in these studies may be crucial for the treatment of gout and its practical benefits.

Gout↗
PubMed1991

Best kept secrets ... Source Data Systems, Inc. (SDS).

The SDS/MEDNET system is a cost-effective option for small- to medium-size hospitals (up to 400 beds). The parameter-driven system lets users control operations with only occasional SDS assistance. A full application set, available for modular selection to reduce upfront costs while facilitating steady growth and protecting client investment, is adaptable to multi-facility environments. The industry-standard, Intel-based multi-user processors, network communications and protocols assure high efficiency, low-cost solutions independent of any one hardware vendor. Sustained growth in both client base and product offerings point to a high level of responsiveness and healthcare industry commitment. Corporate emphasis on user involvement and open systems integration assures clients of leading-edge capabilities. SDS/MEDNET will be a strong contender in selected marketing environments.

Computer Communication Networks↗