The pre CISION tech is simply an attempt to improve the safety profile... 2/10
AVA6000 approved by MHRA. Superb news. First dosing 'around mid-year'; first data to come within 3-4 months after that.
A summary thread on the significance of AVA6000 - and #AVCT's pre CISION platform as a whole - to both the oncology industry and to AVCT itself. 1/10
The pre CISION tech is simply an attempt to improve the safety profile... 2/10
Most therapeutics going through clinical trials look for an improvement of at least 20% over the existing industry-standard drug. A 50% increase in efficacy would usually be considered an astonishing result.
In pre-clinical mouse models for #AVCT's AVA6000 3/10
What this means is that the pre CISION tech could be used to enable the giving of doses to patients that are multiple times more potent... 4/10
For example, in #AVCT's pre-clinical trials, pro-dox (AVA6000) doses were 6x more potent than the standard dox doses.
The results? The...5/10
#AVCT isn't looking to improve chemotherapies by 25-30%, like most drugs in clinical trials.
Its pre CISION has the potential to improve the safety profile - and thus the... 6/10
https://t.co/XOEE45CBtZ
AVCT holds the global exclusive licence over...8/10
TMAC will produce Affimer Drug Conjugates - a potentially more powerful class of oncology treatment than Antibody Drug Conjugates. 9/10
First though, success for AVA6000 please!
Then hopefully @avacta's first TMAC drug to enter Phase I next year 10/10
More from Society
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.

above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.

clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl