Insilico Medicine Brings AI-Powered "ChatPandaGPT" to its Target Discovery Platform

Insilico MedicineInsilico Medicine, a clinical-stage generative artificial intelligence (AI)-powered drug discovery company, has integrated advanced AI chat functionality based on recent advances in large language models into its PandaOmics platform. The new feature, "ChatPandaGPT," enables researchers to have natural language conversations with the platform and efficiently navigate and analyze large datasets, facilitating the discovery of potential therapeutic targets and biomarkers in a more efficient manner. Insilico Medicine is the first biotech company to implement chat functionality using large language models into its AI drug discovery platform.

PandaOmics is an AI-driven target discovery platform developed by Insilico Medicine that applies deep learning models to identify therapeutic targets associated with a given disease through a combination of omics data analysis put in the context of prior information coming from publications, clinical trials, and grant applications. The algorithm optimizes for the best potential therapeutic targets by scoring results on factors such as novelty, confidence, commercial tractability, druggability, safety, and other key properties that drive target selection decisions.

In November 2022, Insilico Medicine released the addition of a transformer-based knowledge graph to PandaOmics. The neural network of special architecture, the so-called transformer, extracts the relevant information from the list of scientific publications and produces a visually appealing graph that links genes, diseases, chemical compounds, and biological processes. The knowledge graph offers insights into the molecular mechanisms of diseases and the biological activities of genes and compounds in the context of a disease. It also reveals the most promising drug targets and biomarkers.

The new chat functionality, based on large language models, has been integrated with the knowledge graph functionality of PandaOmics and offers a more efficient, accurate, and personalized way to access information on molecular biology, therapeutic target discovery, and pharmaceutical development.

ChatPandaGPT offers additional features over the base on the general-purpose chat models. It draws from a specialized knowledge base, enabling it to provide accurate and detailed information related to molecular biology, therapeutic target discovery, and pharmaceutical development. It uses both natural language processing and machine learning algorithms, allowing it to provide more personalized and relevant responses to users on the platform. ChatPandaGPT is available at all times and can process multiple queries simultaneously without becoming tired or making mistakes.

"Insilico Medicine is excited to integrate this cutting-edge chat functionality into our PandaOmics platform," said Alex Zhavoronkov, PhD, Founder and CEO of Insilico Medicine. "By enabling researchers to have natural language conversations with the platform, we’re making it easier to navigate complex data and identify potential therapeutic targets and biomarkers."

PandaOmics is known for its advanced knowledge graph analytics platform, which enables users to discover relationships and insights within complex data structures. By integrating the latest advances in large language models, users can explore data in an even more intuitive and efficient way.

"We're thrilled to integrate this advanced chat functionality into PandaOmics," said Frank Pun, PhD, head of the PandaOmics application scientists team. "This integration represents a significant step forward in our efforts to provide researchers with the tools they need to make important discoveries in the field of drug discovery."

The integration between ChatPandaGPT and PandaOmics is available now, allowing researchers to begin navigating and analyzing large datasets and make important discoveries more efficiently.

About Insilico Medicine

Insilico Medicine, a clinical-stage end-to-end generative artificial intelligence (AI)-driven drug discovery company, is connecting biology, chemistry, and clinical trials analysis using next-generation AI systems. The company has developed AI platforms that utilize deep generative models, reinforcement learning, transformers, and other modern machine learning techniques to discover novel targets and design novel molecular structures with desired properties. Insilico Medicine is delivering breakthrough solutions to discover and develop innovative drugs for cancer, fibrosis, immunity, central nervous system (CNS) diseases, and aging-related diseases.

About PandaOmics

PandaOmics is a therapeutic target and biomarker discovery platform developed by Insilico Medicine that features advanced knowledge graph analytics and state-of-the-art chat functionality. The platform is designed to help researchers identify potential therapeutic targets and biomarkers in a more efficient and streamlined way. https://insilico.com/pandaomics

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...