POSH Platform

AI-powered platform for gene function reconstruction and accelerated drug discovery.

by Insitro · Drug Discovery AI

Executive Summary

The POSH Platform by Insitro is an advanced AI-enabled platform designed to revolutionize drug discovery by addressing critical gaps in the process. It leverages sophisticated machine learning techniques, specifically self-supervised models, which are trained on extensive and unbiased cellular morphology data. This innovative approach allows the platform to accurately reconstruct gene function, providing unprecedented insights into the complex biological mechanisms underlying various diseases. Beyond gene function reconstruction, POSH is adept at predicting molecular biomarkers from diverse data modalities, including high-resolution H&E images and multi-modal phenotypic data sourced from large-scale human cohorts such as the UK Biobank. Its capabilities extend to predicting specific conditions like liver fat content and supporting broad research efforts in chronic disorders of aging, including neurodegenerative, ophthalmic, and metabolic diseases. By integrating and analyzing these rich datasets, the platform aims to accelerate the identification of novel drug targets and therapeutic strategies.

Use Cases

  • Reconstructing gene function to understand disease mechanisms.
  • Predicting molecular biomarkers from cellular and tissue imaging data.
  • Identifying potential drug targets for neurodegenerative, ophthalmic, and metabolic diseases.
  • Analyzing multi-modal human cohort data for disease prediction and stratification.
  • Accelerating the early stages of drug discovery by bridging data-to-insight gaps.

Features

Intelligence

  • Gene Function Reconstruction: Reconstructs gene function using self-supervised models trained on unbiased cellular morphology.
  • Biomarker Prediction: Predicts molecular biomarkers from various data modalities, including H&E images and multi-modal phenotypic data.
  • Disease Insight Generation: Generates insights for chronic disorders of aging, such as neurodegenerative, ophthalmic, and metabolic diseases.

Technical Specifications

AI/ML Stack

  • Machine Learning
  • Self-supervised models

Pricing

Starting Price
Contact sales
Target Customer
Enterprise

About Insitro

Insitro is a machine learning-enabled drug discovery and development company that integrates multimodal data from human cohorts and cellular models with the power of AI and machine learning. The company aims to uncover genetic targets and new therapeutic hypotheses to accelerate the discovery and development of novel medicines.

Founded: 2018 · Headquarters: South San Francisco, CA, United States · Employees: 201-500 · Private