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Here are some of the best #biotech financing options we've seen: Grant Funding Venture Capital (VC) Angel Investors Strategic Partnerships PIPEs What are we missing?🤔
As a #biotech startup, what financing option has been the most instrumental to your success?
Are the probability of technical success (PTS) and the probability of regulatory success (PRS) weighted equally? If not, is it phase dependent?🧐
🚨New Episode🚨 This week on the VibeCast, our host @Healthunchaind and guest Frank Gleeson, Co-Founder and CEO of @SatellosBio, discuss groundbreaking small molecule therapies for Duchenne muscular dystrophy Watch the episode: youtu.be/HNTGYAYCtJ8
Alok Tayi @aloktayi
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8 Followers 72 FollowingBelief @belief37056
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131K Followers 90K Following A knowledge-graph ecosystem where research matters. $PGPT: Protect your IP with #FHE Join the movement - DeSci follow #DeSciMike Dudas @mdudas
146K Followers 813 Following investing @6thManVentures // co-founder @linksdao @theblock__Alok Tayi @aloktayi
3K Followers 705 Following Building a community to find & fund treatments for rare diseases w/ @VibeBio Also: @biotech2050podMolecule @Molecule_dao
12K Followers 2K Following Funding & tokenization platform for biopharma IP. Fund research & participate in translation science from the earliest stages. https://t.co/zUPd1EUQ13Ethan Perlstein @eperlste
17K Followers 2K Following ceo @PerlaraPBC (@ycombinator W16), ceo @epalrestat, solo vc @AngelList, evo pharmacologist, mTOR worshipper, HODLer since '14, cofounder of Kai & Luca, bio/accDr. Jocelynn Pearl @JocelynnPearl
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36K Followers 6K Following VitaDAO is a community owned collective funding early stage longevity research,governed by $VITA-holders 🧬 👉https://t.co/uq15UrsgHOAthenaDAO 🧬🪩 @athena_DAO_
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10K Followers 2K Following investing in bio, healthcare, AI @bessemervp | MD candidate @brownmedicine | editorial team @NEJM_AI | bayesian, he/himThe DeSci Podcast @TheDeSciPodcast
3K Followers 27 Following Rethinking Science - Let's talk to the leaders of this industry about the future of biotech. Brought to you by @molecule_daoNick Fiorenza @nfiorenza
1K Followers 2K Following Scientist & operator building teams and networks improving health @agingbiomarkers @mfoundation @flotbio 🧬 DeSci and web3 advocateDavid R. Liu @davidrliu
64K Followers 59 Following Professor at Harvard, Broad Institute, & HHMI. Our lab integrates chemistry & evolution to illuminate biology & enable new therapeutics. IG/Threads: @davidrliu1Mike Rea, IDEA Pharma @ideapharma
8K Followers 2K Following CEO IDEA Pharma. Pharmaceutical innovation geek. Author, Pharmaceutical Positioning. Senior Fellow @fastercures. *From R&D to RxD* Tweet about clients sometimesFlagship Pioneering @FlagshipPioneer
12K Followers 718 Following We are a biotechnology company that invents and builds platform companies that change the world.Paul Chun @eldredpc
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694 Followers 159 Following Alltrna is the world’s first transfer RNA (tRNA) platform company, and we are unlocking the vast therapeutic potential within #tRNA biology.ResearchHub Foundatio.. @ResearchHubF
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27K Followers 573 Following Supporting the science and technology that will make it possible to cure, prevent, or manage all disease by the end of the century.Excellent insights here on VC 👇🏼
As a VC, should you spend more or less time with your struggling companies? It's an age old debate. I heard an LP on a recent podcast state they wanted their GPs to only spend time with their "Tier 1 & Tier 2" companies. A founder I know well confided to me his lead VC told him…
Oops I did it again 🤭 #TotalSolarEclipse
Eventually someone will crack the riddle of unleashing NK cells
Here we go… first up at #AACR24 New Drugs on the Horizon is ABBV-303, a multispecific Ab that recruits NK and CD8+ T cells to cMet expressing tumors.
Pharma Obesity, Diabetes and Endocrinology Revenue > $70Bn Last Year 🤔What will this figure look like by 2023? Source: Stifel / PharmaSights
Here are some of the best #biotech financing options we've seen: Grant Funding Venture Capital (VC) Angel Investors Strategic Partnerships PIPEs What are we missing?🤔
As a #biotech startup, what financing option has been the most instrumental to your success?
Are the probability of technical success (PTS) and the probability of regulatory success (PRS) weighted equally? If not, is it phase dependent?🧐
ICYMI, check out our most recent VibeCast with Dr. Alex Federation of @talusbio, where we dive further into "undruggable" proteins👇 Full conversation: youtu.be/K9be_3rD7E4
13/ For more about PTRS & some of our other content, check out our newsletter. Link in bio!🤝
12/ As we look to the future, PTRS models continue to evolve with machine learning and real-world data. Personalized medicine and novel modalities present new challenges and opportunities. Ultimately, PTRS drives conversations that help move drugs through development💊💡
11/ Despite all of this, PTRS is not without its criticisms. Some say it's just made-up numbers, but having the numbers to think about prioritization is helpful. It’s clear PTRS is good to help catalyze conversations and uncover blind spots👇
10/ The metric has also been adapted to incorporate the impact of regulatory pathways such as Fast Track, Breakthrough Therapy, and Priority Review designations, which can significantly affect the probability of success👇
9/ Today, machine learning is giving new life to PTRS estimates by leveraging big datasets to approach clinical trial design, outcomes, regulatory data, drug biology, and sponsor characteristics systematically👇
8/ By the early 2000s, PTRS had become more refined, incorporating disease-specific factors, therapeutic mechanisms, and the changing regulatory landscape. Major pharma companies and regulatory agencies embraced PTRS as a critical tool👇
7/ The 1980s and 1990s marked a shift towards structured project management and quantitative risk assessment. Researchers began analyzing historical data to identify patterns and predictors of success👇
6/ PTRS has come a long way since the early days of drug development. In the past, the process was largely guided by intuition and trial-and-error. Success rates were not systematically quantified👇
5/ Now, why does PTRS matter? It helps pharma stakeholders make informed decisions about a drug's future. Additionally, patients await news of life-saving therapies moving down pharma pipelines, while investors use PTRS to generate accurate valuations👇