[bio/acc]
The end of slow science.
Traditional scientific tempo is collapsing in our time. Biology was constrained for centuries by the routines of cautious replication and slow experiments.
That world is crumbling today.
The pace limits of research that characterized the previous two centuries are being torn down by data pipelines, CRISPR, AI-driven drug discovery, and cloud labs.
As you read this, Science is being reprogrammed, to put it simply. What used to take decades can now be completed in months (or in some cases few hours). A small team with the appropriate computational tools can now accomplish what once required armies of researchers.
The gated, institution-controlled process of the past is giving way to one that is more open and dispersed. Consider the COVID-19 vaccine: developed and approved worldwide in less than 12 months. That achievement wasn’t a singular anomaly but a sign of things to come. In contrast, the Ervebo vaccine for Ebola; once considered fast, still took five years.
By historical standards, vaccine development typically required 5–10 years. COVID changed the benchmark forever.
My work with Odola has allowed me to witness this firsthand. In conversations with scientists, founders, and even investors like Adam Draper, the same narrative keeps coming up: it isn’t scientific imagination holding biology back, it’s institutional inertia. The tools are already here; what’s missing is the willingness to fully embrace acceleration, and someone willing to take that risk.
It should be natural for people to feel anxious when things move more quickly in a field like biotech. When you stop to think about it though, slow science wasn’t exactly “safe” either. Slowness came at the expense of patients waiting for treatments that never came or illnesses spreading before treatments could be found.
Night-vision contact lenses, sickle cell cures, and pancreatic cancer vaccines are examples of biotech breakthroughs developed in compressed timeframes.
Research and development of this type will only accelerate. With the ability to independently generate hypotheses, plan experiments, and analyze data, new AI models are evolving into co-scientists that enable experiments to be carried out 24/7 without requiring the human input.
Evolve or Expire.
I’d highly recommend watching Demis Hassabis’ 2024 Nobel lecture at the Royal Swedish Academy of Sciences on this.
Chinmay Pala
www.chinmay.blog