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Oncotelic Therapeutics Opens Access to AI Platform for Biomedical Research

By Editorial Staff

TL;DR

Oncotelic Therapeutics' PDAOAI platform offers researchers a competitive edge by extracting meaningful biological signals from complex datasets without proprietary data training.

The PDAOAI platform works by analyzing large biomedical datasets and providing access to over 125,000 TGF beta abstracts through a dedicated Discord research channel.

This initiative accelerates cancer research, potentially improving treatment outcomes for patients with rare pediatric cancers and other serious diseases.

Oncotelic Therapeutics has opened access to an AI platform that analyzes biomedical data without training large language models on proprietary information.

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Oncotelic Therapeutics Opens Access to AI Platform for Biomedical Research

Oncotelic Therapeutics, Inc. (OTCQB: OTLC) has opened research access to PDAOAI, its proprietary evidence interrogation platform designed to extract biologically meaningful signals from large and complex biomedical datasets. The platform operates without requiring training of bespoke large language models on proprietary data, potentially accelerating discovery processes across the biomedical research landscape.

The company is simultaneously providing researchers with access to a comprehensive TGF beta literature corpus comprising more than 125,000 PubMed abstracts through a dedicated Discord research channel. This combination of advanced analytical tools and curated data resources represents a significant development for researchers working in oncology and related fields. The platform was developed alongside Oncotelic's clinical and preclinical programs specifically to enhance the speed, depth, and efficiency of discovery across its pipeline.

Oncotelic, which was formed in 1988 as OXiGENE, Inc. and has undergone several name changes including Mateon Therapeutics before becoming Oncotelic Therapeutics in November 2020, has been building toward this AI-driven approach for several years. The company acquired PointR Data Inc. in November 2019 specifically to build an AI-driven biotechnology company, indicating a strategic commitment to integrating artificial intelligence into its research and development processes.

The implications of this platform release extend beyond Oncotelic's immediate research needs. By making PDAOAI available to the broader research community, the company is potentially accelerating discovery across multiple therapeutic areas. Researchers can now access sophisticated analytical capabilities without the substantial computational resources typically required for training large language models on proprietary datasets. This democratization of advanced AI tools could lead to faster identification of therapeutic targets and more efficient analysis of complex biological systems.

For business and technology leaders in the healthcare sector, this development highlights the growing importance of AI platforms in drug discovery and development. The ability to extract meaningful signals from vast biomedical datasets represents a competitive advantage in an industry where speed to discovery directly impacts development timelines and costs. Oncotelic's approach of providing both the analytical platform and curated data resources through a dedicated Discord channel creates a collaborative research environment that could foster innovation beyond traditional organizational boundaries.

The platform's availability comes as Oncotelic continues to develop its oncology pipeline with a special emphasis on rare pediatric cancers. The company has rare pediatric designation for Diffuse Intrinsic Pontine Glioma through OT-101 via its 45% joint venture GMP Bio, as well as designations for melanoma and Acute Myeloid Leukemia through other assets. This AI platform could potentially accelerate development across these and other therapeutic areas by enabling more efficient data analysis and hypothesis generation.

For more information about Oncotelic Therapeutics, visit https://ibn.fm/OTLC. Additional details about the announcement can be found at https://ibn.fm/U31jX.

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Editorial Staff

Editorial Staff

@editorial-staff

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