Oncotelic Therapeutics Inc (OTLC)

[Penny Stocks 2.0]

AI/Blockchain: EdgePoint



PointR, an acquisition made in November of 2019, develops and deploys high performance cluster computers and artificial intelligence (“AI”) technologies as a supercomputing grid that can be layered in and interconnected to create an all-point mesh to harvest operational data within manufacturing plant, hospitals, clinics, phase I units. These grids provide real-time, localized decision-making harvesting complex data from structured and unstructured sources. The deployment of this supercomputing grid enables data capture and insight extraction in real time in blocks which are chained into blockchain ledger records serving as immutable transactions for stakeholders such as regulatory agencies, caretakers, insurers, payers, and manufacturers. The PointR grid can integrate and fuse data from any type of sensors or collection devices. For example, the Vision platform is a network of activity detection cameras functionalized with AI algorithms to monitor, evaluate, and archive real time visual data as a series of metadata entries in a Blockchain ledger.



In the pharmaceutical industry PointR’s AI combined with Blockchain will be used in the entire life cycle of a drug: discovery, clinical trials and manufacturing. Leveraging its deep partnership with IBM, the PointR team will combine its own AI Vision technology with industry standard Blockchain to transform drug manufacturing and real-world evidence monitoring for clinical trials. The combined system has the potential to automatically record individual key steps in cGMP manufacturing operations including the flow of people, raw materials and operations in trusted perpetual blockchain ledgers that are indisputable. This has the potential to create much more efficient GMP manufacturing operations while simultaneously improving reliability and data security.



Data integrity is a large and unsolved problem within drug development and manufacturing. Data from 5 1/2 years of FDA inspection records, from 2014 to the present, for four major markets: China, India, Europe, and the United States, revealed endemic data integrity issues including data manipulation. These stipulate that all manufacturing data must be preserved — unaltered — and made available to regulators. For example- out of more than 12,000 FDA inspections of drug plants in the United States, about 7% uncovered violations of the FDA’s data integrity rules including data manipulation. In India, about 24% of the plants inspected committed some sort of data violation, while in China, that figure is 31%. The consequences of data manipulation would be the invalidation of clinical data based on the adulterated drug product, safety concerns and liabilities to the patients, and FDA sanction and legal action.



Country Number of inspections Number (percentage) of violation forms (Form 483) issued Percentage of Form 483s that cite data integrity violations Percentage of Form 483s that cite data manipulation
China 916 617 (67.4%) 48 % 31 %
India 1,693 976 (57.6%) 44 % 24 %
Europe 2,969 1,445 (48.7%) 36 % 18 %
USA 13,650 (estimated) 6,794 (49.8%) 26 % 7 %


The local real time AI processing of the data through grid computing allows for flexibility in data processing and AI training. Federated learning through grid supercomputing is inherently faster and more effective than mainframe supercomputing. In general, AI methods excel at automatically recognizing complex patterns in imaging data and providing quantitative assessments of the underlying characteristics. PointR AI deep learning algorithms have the capability of detecting meaningful relationships in image-recognition tasks in radiology and pathology. The coupling of image algorithm with Vision allows us to integrate imaging data frequently encountered during patient care into coherent metadata for blockchain ledgers. This can transform the design and implementation of clinical trials and accelerate outcomes. Combined with Blockchain the technologies will create trusted irrefutable ledgers which track real world monitoring and evidence gathering.



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The Company’s non-controlling interest subsidiary, EdgePoint, is working to bring a solution that addresses both issues using proven technology. We intend to solve this problem with AI “machine vision” based on our proprietary technology, which is integrated with IBM and re-sold by IBM and its partners. We address the data integrity problem in a step-wise fashion. We start with streamlining the warehouse supply chain component. Later we add modules that spread across the plant in a comprehensive manner. We may spin-off Edgepoint as a separate publicly traded entity.



We expect our warehouse modules will streamline many labor issues in a manner very similar to Amazon-Go stores that run without cashiers. Monitored by a camera grid, shoppers simply enter, grab items and leave. A shopper can grab a sandwich and soda and leave within few minutes without checkout lines and delays. Amazon’s AI machine vision automation identifies the shoppers, the items they picked-up, consummates the transaction and sends receipt. Sounds like science fiction but there are 11 such stores nationwide and disrupting the retail industry.