Optimizing natural fertility.

Optimizing natural fertility: a committee opinion.

This Committee Opinion provides practitioners with suggestions for optimizing the likelihood of achieving pregnancy in couples/individuals attempting conception who have no evidence of infertility. This document replaces the document of the same name previously published in 2008 (Fertil Steril 2008;90(Suppl):S1-6).

The Future of Artificial Insemination?

During the last decade, an increasingly important technology in optimizing the production system has been the widespread adoption of artificial insemination (AI). The benefits of AI include decreased production costs, increased rate of genetic improvement, reduced disease transfer, and a more uniform and improved product at the packing plant. With appropriate timing and management, fertility ca...

Optimizing natural fertility in couples planning pregnancy Overview of infertility Overview of treatment of female infertility Ovulation induction with clomiphene citrate Pathogenesis and treatment of infertility in women with endometriosis Treatment of male infertility

This monthly Current Awareness Bulletin is produced by the Healthcare Library to provide Salisbury NHS Foundation Trust staff working in Fertility Services with a range of resources to support practice. It includes recently published guidelines and research articles, news and policy items, and details of forthcoming events and conferences. Athens To access journal articles that are available in...

Allometric engineering: a causal analysis of natural selection on offspring size.

Techniques of offspring size manipulation, "allometric engineering," were used in combination with studies of natural selection to elucidate the causal relation between egg size and offspring survival of lizards. The results experimentally validate premises underlying theories of optimal egg size: fecundity selection favoring the production of large clutches of small eggs was balanced by surviv...

Optimizing Fertility: The Importance of Uterine Health