AI-powered Disease Model Finder Helps Researchers Identify Preclinical Oncology Models
SAN DIEGO–(BUSINESS WIRE)–#diseasemodelfinder–Scientist.com, the pharmaceutical industry’s leading marketplace for life science research, announced today that it has partnered with leading oncology CROs to launch a Disease Model Finder that helps medical researchers use genetic, cellular and patient data to find the most appropriate research models for their preclinical development projects.
“Our proprietary model selection software uses multiple machine learning algorithms to help researchers sift through large amounts of data and identify in vitro and in vivo models for their research,” stated Javier Pineda, PhD, Data Scientist at Scientist.com. “Scientists can filter by gene mutation, gene expression, cancer type or patient information, and then purchase without delay once the right model is identified.”
The Disease Model Finder brings together a wealth of data that can help scientists choose the right preclinical disease models. DNA sequencing data from CRO partners is uploaded and analyzed so that researchers can easily search for models based on the presence (or absence) of a mutated gene or by the up or down regulation of gene expression. Marketplace customers can then filter their search results based on cancer type, subtype and characteristics or patient information.
The Disease Model Finder currently includes 1,400 PDX models. By 2022, the platform will include other model systems including organoids, cell-derived xenografts (CDX), syngeneic models, immunoncology models and patient-derived cell lines.
To learn more please visit https://www.scientist.com/disease-model-finder/
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