Theralase Technologies Inc. V.TLT

Alternate Symbol(s): TLTFF

Healthcare Medical Devices

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.

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Theralase Technologies Inc. > Interim Data...

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Comment by Eoganachton Aug 29, 2023 4:51pm

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Post# 35610685

RE:RE:RE:Interim Data...

270 day bump to 47%
360 day bump to 38%
90 day bump to 64% - all 5 patients awaiting evaluation were CR

Eoganacht wrote: Yes, 270 days should get a bump. If 5 of the 6 CRs sitting at 180 days maintain their CR, the 270 CR rate should go to 49% from 43%.

360 days could go up to 38% from 36% if the 2 CRs at 270 hang on.

90 day rate will depend on how many of the 5 patients awaiting evaluation are CR. If they are all CR the rate would go up to 64% - from 60%.

We'll probably know tomorrow some time after the market closes.

DJDawg wrote:
Based on what is pending and how hard it can be to move the % when you have a certain number already counted, my prediction is that 90,180, 360, 450 pretty much stay the same. 270 should get a bump up based on the big wave of CR at 180 from last time.

Regardless, evein if the CR doesn't change too much, you get higher statistical strength based on the enlargening sample size. e.g. 60% of 20 sounds promising, but 60% of 60 is more confidence inspiring that the first 20 were not just a bit lucky.