Fan of #TechBio with #AI, #ML and #Automation, #CRISPR, #CellTech with #SynBio and #iPSC. I focus on #Genetics, #Immunology, #Hematology and #Oncology.
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Apr 15 • 6 tweets • 1 min read
🧵The Little Book of Biotech: Part 5
This is going to be for companies not inside the $XBI. I will post companies here as I come across biotech names and check them out.
$ABSI is a company using synthetic biology to create antibodies and AI to model and design antibodies. They are working on generative AI platform to allow for antibody development. Its a massive bubble at 2x valuation. I love it at the right price.
Apr 13 • 34 tweets • 5 min read
🧵The Little Book of Biotech: Part 4
This is going to be part 4 as I ran into the thread limit for the number of companies each thread will show. Make sure to go back and check out Part 1, Part 2, and Part 3.
$FATE is a iPSC cell company working on CAR-NK and CAR-T therapies. I have owned them for many years, but opted to sell them recently as they have failed over and over again in the last several years. Time to move on.
Apr 11 • 32 tweets • 6 min read
🧵The Little Book of Biotech: Part 3
This is going to be part 3 as I ran into the thread limit for the number of companies each thread will show. Make sure to go back and check out Part 1 and Part 2.
$RXRX is actually my top pick right now. They are using robotics to do experiments and collect data to feed into their super computer and use AI to develop drugs. This is the future of drug discovery. It should, over time, reduce costs and improve rates of success.
Apr 9 • 25 tweets • 5 min read
🧵The Little Book of Biotech: Part 2
This is going to be part 2 as I ran into the thread limit for the first set of companies. Don't forget to look at my first 30 companies.
$FOLD is an old ERT company working in rare diseases which changed into gene therapies. I use to own them for a while so I know they have had some success and some failure along the way. Its a solid company, but I am moving beyond gene therapy to gene editing now.
Apr 7 • 32 tweets • 6 min read
🧵The Little Book of Biotech:
I plan to go through every company in the $XBI and do my DD. Then leave a post in this thread for my quick take on each company. Make sure you book mark this thread. I will start building it today and try to add every day at least 1 company.
$CYTK is a company working in muscle biology starting with heart indications. They have 3 late stage indications and a few early stage indications. They have about $700 million cash and burn about $450 million. Very impressive company on 1st look. Added to my list to advance.
Mar 28 • 12 tweets • 2 min read
My Top 10 Ideas
This is updated since earnings.
#1 $RXRX is still my top pick. They blend AI technology and biology to discovery drugs. They have a technology platform which could change the way we develop drugs. Its still very early, and it has to validate the platform works with human data.
Jan 20 • 23 tweets • 4 min read
🧵A lesson from the past:
I know no one wants to hear about bubbles popping, but you are gonna. I lived through many bubbles and I avoided all of them. I am going to tell you why because maybe it will save someone from the next bubble popping.
1/ I started out in the mid 1990's. I read all of Ben Graham's works and learned from him about the real science of fundamentals and valuation. I learned about buying great companies at a cheap price.
Jan 15 • 6 tweets • 1 min read
🧵The Biotech Report for $CRBU:
They did a press release along with a presentation for JPM. I was tempted to promote them above Gingko to my #2 position, but I am holding off.
I think they need data to show their version of immune evasion works. They are also solely focused on cell therapies with no other platform development. They are not doing any gene editing programs or regen medicine.
Jan 13 • 10 tweets • 2 min read
🧵The Biotech Report: $RXRX
One of the amazing things that keeps Recursion at the top of my Magnificent 7 list is their ability to really impress me all the time.
I thought their deal they did with Nvidia to build out their Supercomputer adding 4x the capacity for Machine Learning was impressive. They even did a deal with Tempus to get the 22 petabytes of data to use in oncology.
Dec 25, 2023 • 8 tweets • 6 min read
🧵My Thread on Investing Themes:
Here I a going to slowly build a thread on my key investment themes and each company I have selected in that theme.
My Thesis for Tech Bio:
It takes over $1 billion dollars to develop a new drug and still 90% of drugs fail in clinical development. The cost of new drug discovery is high which relates to higher drug prices. If we can use technology like Artificial Intelligence (AI), Large Language Models (LLM) and Machine Learning (ML), we can drive down the costs and increase the level of success rates. This comes with ideas like digital chemistry, digital antibody mapping and digital genome mapping and teaching machines to read and write DNA and RNA. It also brings with it the automated lab. Each person you can eliminate with robotics saves money. There are a lot of repetitive tasks that can be automated. Its about empowering the few key scientists with technology and automation to do more. I believe this is one of the most critical themes of the next decade. At first companies and investors will be complacent and skeptical, but as disruptive smaller companies show improved economics around technology in drug discovery, the losers will be those who do not embrace the AI revolution in biotechnology. This theme is still in it infancy. It is still fragmented by many smaller players. There is still no clear winners, but some favorites are emerging.
Dec 18, 2023 • 15 tweets • 3 min read
🧵T Cell Receptor (TCR) Therapies:
Here we will look at TCR and TIL therapies.
1/ A T cell receptor (TCR) therapy uses the original T cell receptor. Some of them will sort and select donor T cells looking for the correct ones that react to the antigen they desire. Other programs will edit the TCR to change its antigen of target to the one desired.
Dec 17, 2023 • 20 tweets • 4 min read
🧵A Look at CAR-T:
Here we will look at what CAR-T is, how it works and how it has evolved.
1/ I remember the early days of these programs as an investor. It was like many of the therapies we here about today that are untested. There were challenges and eventually huge success. It all started with autologous CAR-T therapies, but what does that really mean?
Dec 8, 2023 • 17 tweets • 4 min read
🧵Signal Transduction Pathways:
Here we will look at the pathways inside a cell that translates receptor into cell reaction.
1/ Now we are going to look at the two major growth pathways that take the signal at the growth receptor and translate it into actions by the cell through activating key genes.
Dec 2, 2023 • 17 tweets • 4 min read
🧵Acute Lymphoid Leukemia (ALL):
Here is the last of the 4 Leukemias we will look at.
1/ This is an acute leukemia which means it happens fast and quickly. It is one of the most common leukemias and affects both children and adults. For children under 14, ALL has about a 90% for 5 year survival rate. For patients over 60, its a poorer prognosis at 20%.
Nov 26, 2023 • 12 tweets • 3 min read
🧵Hematology/Oncology:
This will be my master thread for Hematology/Oncology.
1/ Intro to Blood Cancers:
Here we will begin to look at B cells and Antibodies.
1/ Immunoglobulin means “Immune Protein”. This is what we call the proteins produced by the B cells. When these immunoglobulins are embedded into the B cell membrane, they are called the B cell receptor (BCR).
Oct 8, 2023 • 19 tweets • 4 min read
🧵T cell VDJ Recombination:
Here we will look more into the T cell receptor creation.
1/ The T cell will begin the arrangement of its Beta chain of the T cell receptor. This works in a competitive environment as both sets of genes from mom and dad compete to see which one is able to rearrange a successful Beta chain first.
Oct 6, 2023 • 8 tweets • 2 min read
🧵T Cells and B cells:
This will be the continuation of Immunology with all things T cells and B cells.
1/ Recombination:
Here we will begin to look at the many different CRISPR editing systems.
1/ What does CRISPR stand for? It stands for Clustered Regularly Interspaced Short Palindromic Repeats. This was discovered by scientists studying bacteria. Bacteria get infected by viruses called Bacteriophages.
Sep 14, 2023 • 8 tweets • 3 min read
🧵Taking a look at $RXRX:
I have done many threads on Recursion and the potentially game changing technology behind the company. This thread will be to look at the actual company.
1/ The first thing is the pipeline. They have 3 programs that they in licensed which are all in phase 2. They have multiple programs going now from their Recursion OS.
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