Bob has been on top of the crisis from the very beginning and has a lot of interesting insight
3,003 karma · joined November 21, 2017
richard at baybridgebio.com
Bob has been on top of the crisis from the very beginning and has a lot of interesting insight
for ex, this paper [0] by UCSF analyzing 26 of the 29 viral proteins expressed by the virus was posted on biorxiv and publicized further via twitter [1]. they identified 69 FDA approved drugs that target these proteins, giving the medical and scientific community a massive head start on studying drugs that could potentially be near-term treatments
there are some parts of academic science that are stuck in the last century but scientists themselves are certainly not
for those interested in learning more about how science works and how scientists operate, the covid situation is a great way to see how its done. modern science is amazing
[0] https://www.biorxiv.org/content/10.1101/2020.03.22.002386v1
link to the trial on clinicaltrials.gov is here: https://clinicaltrials.gov/ct2/show/NCT04261517
patients in both tx and control arm fared better than in the french study from earlier this week, suggesting patients were healthier / lower risk at baseline
patients got slightly lower dose in this study (400 mg / day) vs the french study (600 mg / day)
the goal of studies like this are to strengthen the evidence base and remove those unknowns, so physicians can make evidence-based decisions. if the study is sufficiently poorly designed, it does not accomplish this goal, and can even lead to misinformation
Check out this analysis: https://twitter.com/AppleHelix/status/1240495937522368512
The point of these studies is to help the evidence catch up to improvised clinical practice. If the studies are poorly designed, that goal is not achieved
If you are not exposed to high levels and are not required to put yourself at risk to care for patients, you are at low risk. You can protect yourself with milder measures like social distancing and face protection that is not as effective but not in such short supply
https://www.cdc.gov/coronavirus/2019-ncov/hcp/ppe-strategy/f...
Health care providers, scientists and health officials are rapidly changing and adapting to the situation. It probably is a good idea for all people to wear homemade / improvised masks to reduce R0
But I'd still hope that civilians with large stores of N95 masks or other PPE would consider donating them to healthcare workers. The optimal scenario seems to be that non-HCPs stay home as much as possible, wash hands, sanitize and wear improvised masks when leaving home, and donate PPE to healthcare workers
9% of COVID-19 cases in italy are HCPs
[0] https://www.cdc.gov/coronavirus/2019-ncov/hcp/ppe-strategy/f...
The French study of HCQ had several limitations. Including that it was very small and some patients who got HCQ and progressed to go to the ICU were excluded from the study. Thus making the drug look better than it is
HCQ is not likely to be a miracle cure. It may be useful in combo with other drugs
It's easy to make not great data look like great data to untrained eyes. And it's tempting to cut scientific corners to bring forward a drug for covid-19. But if the drug doesn't work, we should be honest about that and look for better drugs
Should at risk people take HCQ as a precaution until something better comes along? Definitely. but we need to be careful in talking about its potential
Is there a quick, effective and easy sanitizing protocol for N95 masks that you think would work for hospitals that are short on masks?
There are huge shortages of these masks in most US hospitals, even in areas with limited cases (cant speak for other coutnries but assume the same is true). HCPs are forced to either treat patients without wearing masks, guaranteeing high exposure to virus, or not care for patients
If you are sheltering in place (as you should be doing if you are healhty), N95 masks wont help you much. THey will 100% help HCPs
Many drug prices are too high but 80% of rx in the US are generic, and US is middle of the pack in terms of drug spend as a percent of HC spend compared to OECD countries
Drug prices "feel" higher bc copays are higher for drugs than office / hospital visits. If the goal is to reduce actual costs rather than perceived costs, we should look at hospital and provider costs, not just drug costs. But hospitals are huge employers with lots of political power, not to mention large lobbying budgets
I wonder why this paper didn't contemplate effect of Medicare for all on hospital and provider spend?
theoretically this could may made into a therapy by taking t cells from patients, modifying their DNA to express this receptor, and then readministering the modified t cells to patients
there are two FDA approved drugs that use this basic approach. however, this only works currently in "liquid tumors", not "solid tumors" like breast cancer, lung cancer, prostate, etc
This article gives a nice, simple explanation as to why solid tumors are more difficult (scroll down to the chart): https://www.the-scientist.com/features/the-next-frontier-of-...
if this works, then the first challenge listed in the chart would be mitigated. however the challenges of a suppressive tumor environment and sufficient delivery to tumor cells is still a major unsolved challenge
If you're interested I'm running a program called Biotech Startup School on how to start biotech companies: https://www.baybridgebio.com/biotech-startup-school.html
Cash on cash returns from seed investing in the biggest biotech companies are an order of magnitude lower than tech. Series a investments in the biggest biotech startups are about half that of tech. This is despite the fact that the companies grow to comparable sizes on comparable amounts of capital [0]
Value inflection happens later in biotech than software. Software startups can get product market fit on seed capital, but the biggest value inflection in biotech is human proof of concept, which costs tens or hundreds of millions
If you invest in biopharma you should focus on lower loss rates (ie do good technical diligence) and concentrate bets in winning companies
[0] https://www.baybridgebio.com/blog/anatomy_of_a_decacorn.html
Re eye diseases / blindness, there is at least one approved gene therapy for a form of congenital blindness, luxturna: https://www.fda.gov/news-events/press-announcements/fda-appr...
the eye is one of the areas where gene therapy delivery is currently feasible. other areas include the CNS using AAV9. Perhaps the most impactful gene tx yet approved is Avexis' Zolgensma (Avexis was acq by Novartis for $8-9B in 2018). Zolgensma is a potential cure for spinal muscular atrophy, the leading genetic cause of infant death. Zolgensma did $160M in its first full quarter on the market
Other areas where we will likely see approved gene therapies soon include blood diseases like hemophilia, beta thalessemia. In addition to blood, eye and motor neurons, the liver is a popular target for gene therapy as all of these tissues are easier to deliver gene tx to with current technology
Delivering gene tx to other tissues is not really feasible as far as i know at this point
Here are some of the most widely cited studies of pembro in lung cancer that illustrate its clinical benefit:
Open label pembro vs chemo in first line non small cell lung cancer: https://www.nejm.org/doi/full/10.1056/NEJMoa1606774
Development of PD-L1 biomarkers in 495 patient phase 1 study: https://www.nejm.org/doi/full/10.1056/nejmoa1501824
Pembro + chemo in lung cancer: https://www.nejm.org/doi/full/10.1056/NEJMoa1801005
Pembro + docetaxel for previously treated lung cancer: https://mdanderson.elsevierpure.com/en/publications/pembroli...
There are a couple interesting gene therapy companies workout on hearing (akuous and decibel among others). Lots of ophthalmology gene therapy companies also, as well as more traditional companies. Hair regeneration has been a popular area of research for a while
Most companies work on biomarkers as part of the drug dev process. However building a business around just biomarkers is hard -- you need to develop your own drugs based on those biomarkers. Diagnostics is really tough bc reimbursement and pop health is tough bc incentive alignment is nearly impossible in many contexts