Mining MEDLINE for implicit links between dietary substances and diseases.

Motivation: Text mining systems aim at knowledge discovery from text collections. This work presents our text mining algorithm and demonstrates its use to uncover information that could form the basis of new hypotheses. In particular, we use it to discover novel uses for Curcuma longa, a dietary substance, which is highly regarded for its therapeutic properties in Asia.

Semantic relations asserting the etiology of genetic diseases.

Considerable research is being directed at extracting molecular biology information from text. Particularly challenging in this regard is to identify relations between entities, such as protein-protein interactions or molecular pathways. In this paper we present a natural language processing method for extracting causal relations between genetic phenomena and diseases.

NLP-based information extraction for managing the molecular biology literature.

We present research aimed at devising a tool for using natural language processing to identify and extract biomedical information from text for the purpose of assisting researchers in molecular biology manage large amounts of information. A pilot project based on the molecular genetics of diabetes demonstrates our ability to explore the interaction of genomic phenomena and clinical findings. We suggest the cooperation of this extracted information with systems for clustering text and constructing labeled networks of data.

Antiretroviral therapy effects on genetic and morphologic end points in lymphocytes and sperm of men with human immunodeficiency virus infection.

Many human immunodeficiency virus (HIV)-infected persons receive prolonged treatment with DNA-reactive antiretroviral drugs. A prospective study was conducted of 26 HIV-infected men who provided samples before treatment and at multiple times after beginning treatment, to investigate effects of antiretrovirals on lymphocyte and sperm chromosomes and semen quality. Several antiretroviral regimens, all including a nucleoside component, were used.

Rat pleural mesothelial cells adapted to serum-free medium as a model for the study of growth factor effects.

Mesothelial cells are the putative progenitors of mesotheliomas and cell lines have been used as tools to study the responses of these cells to various stimuli, including growth factors. The present study was undertaken to develop a rat mesothelial cell line capable of sustained growth under serum-free conditions with the object of avoiding the possible confounding effects of undefined serum components. Responses of mesothelial cells to epidermal growth factor were shown to differ under serum-free versus low-serum culture conditions.