A blog webpage written by entrepreneur Matt Krisiloff which offers helpful advice to scientific founders of biotechnology companies on how to fundraise and manage relations with investors.

“Because of examples of great success in the broader technology world, we’re seeing the emergence of what I’d call a more ‘Silicon Valley’ mindset in biotech investing. This approach prizes technology development at the core of the company’s DNA and – drawing from examples in tech such as Microsoft and Meta and in biotech such as Regeneron and Genentech – recognizes that technical founders who can grow into business leaders often build more innovative and ultimately more successful companies. This shift has opened up new avenues for fundraising that founders should understand and look towards”

[](https://mattkrisiloff.com/2025/01/07/fundraising-for-found-led-biotech/)

At this point in my career across the biotech-related projects I’ve run, I’ve personally raised about $100 million. In some ways this feels like a lot, but given the scope of biotech and hard tech projects I care most about, it’s really just a drop in the bucket. From these experiences though, I’ve learned some things that I believe can help other founders navigate fundraising, and want to share them – especially for newer founders working on interesting technologies that may be approaching fundraising for the first time.

Cool biophysical modeling of the endoplasmic reticulum!

Active liquid network [ https://www.czbiohub.org/life-science/a-simple-model-for-an-…structure/](https://www.czbiohub.org/life-science/a-simple-model-for-an-…structure/)

Scientists use math and physics to address the mystery of just how the endoplasmic reticulum, an organelle essential to life at the cellular level, continually re-arranges itself.

Specialized extracellular matrix structures known as perineuronal nets surround the soma and dendrites of many CNS neurons. Fawcett and colleagues provide an update on our current understanding of perineuronal net composition, formation and functional roles in brain function and disease.

An informative review on the benefits and drawbacks and biological effects of various kinds of in vitro cell culture media.

The biomolecular relevance of medium supplements is a key challenge affecting cell culture practice. The biomolecular composition of commonly used supplements differs from that of a physiological environment, affecting the validity of conclusions drawn from in vitro studies. This article discusses the advantages and disadvantages of common supplements, including context-dependent considerations for supplement selection to improve biomolecular relevance, especially in nanomedicine and extracellular vesicle research.

Gramicidins work as antibiotics against gram-positive bacteria like Bacillus subtilis and Staphylococcus aureus, but not well against gram-negative ones like E. coli. ^{[ 3 ]}

Gramicidins are used in medicinal lozenges for sore throat and in topical medicines to treat infected wounds.s are often mixed with other antibiotics like tyrocidine and antiseptics. ^{[ 4 ]} s are also used in eye drops for bacterial eye infections. In drops, they are often mixed with other antibiotics like polymyxin B or neomycin. Multiple antibiotics increase efficiency against various strains of bacteria. ^{[ 5 ]} Such eye-drops are also used to treat eye infections of animals, like horses. ^{[ 6 ]}

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Heninger and Johnson argue that chaos theory limits the capacity of even superintelligent systemsin simulating/predicting events within our universe, implying that Yudkowskian warnings may not accurately describe the nature of ASI risk. #aisafety #ai #tech

Completely eliminating the uncertainty would require making measurements with perfect precision, which does not seem to be possible in our universe. We can prove that fundamental sources of uncertainty make it impossible to know important things about the future, even with arbitrarily high intelligence. Atomic scale uncertainty, which is guaranteed to exist by Heisenberg’s Uncertainty Principle, can make macroscopic motion unpredictable in a surprisingly short amount of time. Superintelligence is not omniscience.

Chaos theory thus allows us to rigorously show that there are ceilings on some particular abilities. If we can prove that a system is chaotic, then we can conclude that the system offers diminishing returns to intelligence. Most predictions of the future of a chaotic system are impossible to make reliably. Without the ability to make better predictions, and plan on the basis of these predictions, intelligence becomes much less useful.

This does not mean that intelligence becomes useless, or that there is nothing about chaos which can be reliably predicted.