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Theralase Technologies Inc. V.TLT

Alternate Symbol(s):  TLTFF

Theralase Technologies Inc. is a Canada-based clinical-stage pharmaceutical company. The Company is engaged in the research and development of light activated compounds and their associated drug formulations. The Company operates through two divisions: Anti-Cancer Therapy (ACT) and Cool Laser Therapy (CLT). The Anti-Cancer Therapy division develops patented, and patent pending drugs, called Photo Dynamic Compounds (PDCs) and activates them with patent pending laser technology to destroy specifically targeted cancers, bacteria and viruses. The CLT division is responsible for the Company’s medical laser business. The Cool Laser Therapy division designs, develops, manufactures and markets super-pulsed laser technology indicated for the healing of chronic knee pain. The technology has been used off-label for healing numerous nerve, muscle and joint conditions. The Company develops products both internally and using the assistance of specialist external resources.


TSXV:TLT - Post by User

Comment by Pandoraon Oct 31, 2023 9:43am
172 Views
Post# 35708984

RE:RE:RE:RE:the protocol change notice from Health Canada

RE:RE:RE:RE:the protocol change notice from Health Canada
Looks like some people are starting to use AI in parsing patient data sets.

"NetraMark is a company focused on being a leader in the development of Generative Artificial Intelligence (Gen AI) / Machine Learning (ML) solutions targeted at the Pharmaceutical industry. Its product offering uses a novel topology-based algorithm that has the ability to parse patient data sets into subsets of people that are strongly related according to several variables simultaneously. This allows NetraMark to use a variety of ML methods, depending on the character and size of the data, to transform the data into powerfully intelligent data that activates traditional AI / ML methods. The result is that NetraMark can work with much smaller datasets and accurately segment diseases into different types, as well as accurately classify patients for sensitivity to drugs and / or efficacy of treatment."
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