Bio Eats World

Andreessen Horowitz

Biology is breaking out of the lab and clinic—and into our daily lives. Our new ability to engineer biology is transforming not just science, research, and healthcare, but how we produce our food, the materials we use, how we manufacture, and much, much more. From the latest scientific advances to the biggest trends, this show explores all the ways biology is today where the computing revolution was 50 years ago: on the precipice of revolutionizing our world in ways we are only just beginning to appreciate. Through conversations with scientists, builders, entrepreneurs, and leaders, host Olivia Webb (along with the team at Andreessen Horowitz), examines how bio is going to fundamentally transform our future. In short, bio is eating the world. read less

Evolving Embodied Intelligence
Jun 30 2021
Evolving Embodied Intelligence
On today’s episode, we are making the full arc from the theoretical and borderline philosophical to the applied. Let’s start with the theory: embodied intelligence posits that the body, or the physical form, plays an active and significant role in shaping an agent's mind and cognitive capacities. For example, human intelligence is not just the function of our brain, but a combination of our brain, our body, and the environment in which we exist. But when it comes to designing artificial intelligence (AI), a physical form and an environment are typically not part of the equation. It’s a disembodied cognition. Our guests, Li Fei-Fei and Surya Ganguli of the Stanford Institute for Human-Centered AI, set out to develop what they call an “evolutionary playground” to explore the development of embodied intelligence in AI and its connection with the environment and with learning using in silico experiments. They discuss with a16z general partner Vijay Pande and host Lauren Richardson how they created a suite of virtual environments in which agents evolve through a process that mimics aspects of Darwinian evolution. These agents, called the unimal, or universal animal, start off as a central node, and with each generation can add or subtract limbs and change various properties of their physical forms, like how flexible their joints are. Just like in real evolution, different forms arose based on the particularities of the environment, but what is really exciting is what Fei-Fei, Surya, and colleagues discovered about the intelligence encoded in some of these forms, such as an increased ability to learn a novel task. Which brings us to the applied section of our discussion. These results provide new insights for how we think about designing robots capable of performing unique tasks, and for understanding the possible limitations of disembodied AI models, like GTP-3. The results are described in the pre-print "Embodied Intelligence via Learning and Evolution" posted on arXiv.org. And watch the unimal evolve here!
The Problem with Urgent Care
Jun 8 2021
The Problem with Urgent Care
When it comes to healthcare, the topic of how expensive it is and what we can do to lower costs is always top of mind. One area with particularly steep costs is the emergency department. These are hospital departments that can take care of pretty much anything from a cut to a car wreck. But going to an emergency department for something as simple as a cut can result in a high bill for both the patient and the insurer. This is where the urgent care center comes in. Urgent care centers are walk-in clinics focused on caring for minor illnesses and injuries — or in medical speak — low acuity conditions. They are way less expensive than a trip to the emergency department, so funneling these low acuity visits from the emergency department to urgent care centers should result in lower healthcare costs… right? On today’s episode, host Lauren Richardson is joined by a16z general partner Vineeta Agawala and bio deal team member Justin Larkin (who are both medical doctors and experts in healthcare), to discuss new research published in the journal Health Affairs, examining this key assumption. The conversation covers the issues with care utilization and care navigation, how urgent care centers impact healthcare costs, and the implications of these results for builders in the digital health space. The article at the center of today's episode is: "Urgent Care Centers Deter Some Emergency Department Visits But, On Net, Increase Spending" by Bill Wang, Ateev Mehrotra, and Ari B. Friedman, published in Health Affairs.
Viral Genomes from A to Z
Jun 1 2021
Viral Genomes from A to Z
If there is one rule in biology, it is that there is an exception to every rule. This includes even the basic biochemistry of DNA, which was once thought to be universal. On this episode, host Lauren Richardson and Judy Savitskaya (a16z bio deal team member and synthetic biology expert), discuss the results and implications three related articles co-published in Science, which all advance our understanding of a very unique kind of DNA. If you open any biology text book, it will say that the genetic code is made up of 4 bases: Adenine, Thymine, Cytosine, and Guanine, or ATCG. But, back in 1977, scientists discovered a phage — the technical term a virus that infects bacteria — that encodes its genome in ZTCG. Z is a derivative of A that has an extra amino group tagged on, and while that may sound minor, it changes some of the key properties of DNA. These three new articles seek to understand how Z is made and how it is incorporated into DNA. This is essential information for taking Z from a weird, wild bio story into a practical application. The conversation covers what makes Z different than other bases, what these three articles reveal about the synthesis and polymerization of Z, and how we can use use Z in a wide range of applications, from bio-containment to new therapeutics to DNA storage.The three articles discussed are:"A widespread pathway for substitution of adenine by diaminopurine in phage genomes" by  Yan Zhou, Xuexia Xu, Yifeng Wei, Yu Cheng, Yu Guo, Ivan Khudyakov, Fuli Liu, Ping He, Zhangyue Song, Zhi Li, Yan Gao, Ee Lui Ang, Huimin Zhao, Yan Zhang, and Suwen Zhao"A third purine biosynthetic pathway encoded by aminoadenine-based viral DNA genomes" by Dona Sleiman, Pierre Simon Garcia, Marion Lagune, Jerome Loc’h, Ahmed Haouz, Najwa Taib, Pascal Röthlisberger, Simonetta Gribaldo, Philippe Marlière, and Pierre Alexandre Kaminski"Noncanonical DNA polymerization by aminoadenine-based siphoviruses" by  Valerie Pezo, Faten Jaziri, Pierre-Yves Bourguignon, Dominique Louis, Deborah Jacobs-Sera, Jef Rozenski, Sylvie Pochet, Piet Herdewijn, Graham F. Hatfull, Pierre-Alexandre Kaminski, and Philippe Marliere
World’s largest supercomputer v. biology’s toughest problems
May 25 2021
World’s largest supercomputer v. biology’s toughest problems
This episode was recorded in March of 2019 to celebrate the 20th anniversary of Folding at Home, the distributed computing project for simulating protein dynamics, and originally aired on The a16z Podcast. Folding at Home is run on millions of devices, is the world’s largest supercomputer, and tackles some of biology’s toughest problems, including COVID-19.Proteins are molecular machines that must first assemble themselves to function. But how does a protein, which is produced as a linear string of amino acids, assume the complex three-dimensional structure needed to carry out its job? That's where Folding at Home comes in. Folding at Home is a sophisticated computer program that simulates the way atoms push and pull on each other, applied to the problem of protein dynamics, aka "folding". These simulations help researchers understand protein function and to design drugs and antibodies to target them. Given the extreme complexity of these simulations, they require an astronomical amount of compute power. Folding at Hold solves this problem with a distributed computing framework: it breaks up the calculations in the smaller pieces that can be run on independent computers. Users of Folding at Home — millions of them today — donate the spare compute power on their PCs to help run these simulations. This aggregate compute power represents the largest super computer in the world: currently 2.4 exaFLOPS!Folding at Home was launched in the lab of Vijay Pande at Stanford. In this episode, Vijay (now a general partner at a16z) is joined by his former student and current director of Folding at Home, Greg Bowman, an associate professor at Washington University in St. Louis, and host Lauren Richardson. The conversation covers the origins of the Folding at Home project and the scientific and technical advances needed to solve the complex protein folding and distributed computing problems.To find out more about how Folding at Home is contributing to the COVID-19 pandemic, check out the recenty published article from the Bowman lab, "SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome", published in Nature Chemistry.