DIY-HP-LED
Well-Known Member
A lot of lessons are being learned the hard way with covid, lessions in law, regulation and science too. The way gold standard double blind studies are done must be looked at, the methodology is correct, but the practical implementation is a serious problem with a fast moving target like covid. This problem has repeatedly surfaced with a number of treatments concerning covid, the lack of reliable data has lead to confusion and delays in understanding. I believe this will be studied and new methodologies and standards of temporary evidence will be implemented, some of this will require new regulations and laws.Trump “ presses “ FDA to use “ Plazma “ ( trump’s word ) to show a new therapeutic. Use of plasma antibodies from previous covid patients .
Hospitalized patients who received the plasma within three days of diagnosis, are under the age of 80 and not on mechanical ventilation, benefited the most, with a 35% improvement in survival 30 days after receiving the transfusion compared with patients who got plasma with low antibody levels, according to Dr. Marks.
“We’re confident that convalescent plasma is safe to use in this setting,” Dr. Marks added.
Convalescent plasma has been seen as a way to help people fight the disease and a bridge while other treatments are under development. The emergency-use authorization doesn’t alleviate the need for a vaccine or for therapies known as monoclonal antibodies that could stave off infection or at least reduce the seriousness of one.
Emergency-use authorization waives some regulatory requirements involved in using products during public health emergencies that aren’t yet FDA-approved..... Trump’s NOTHING NEWS to temper his polling free fall.
I think an AI managed central database(s) of treatments, symptoms and outcomes might be helpful for future pandemics. Remove the biases as much as possible for treatments in real time as the data comes in and is machine processed, most biases could be isolated to the algorithm and dealt with there. Fast and reasonably accurate, usable results are the objective, automate and standardise the information processing system as much as you can to get them. Make every sick patient you can count towards the data set, it starts with a tests, a form and checklist. Give the right people the right information in the the proper format and the scientists, programmers and statisticians can find the accurate answers.