Digital in bio

How technology and biology are merging and where it's going.

The hottest Substack posts of Digital in bio

And their main takeaways

Living in the US, what is it like?

39 implied HN points • 25 Dec 23
🌐 International Communication Cultural Diversity Global Perspectives
  1. Everything is bigger in the US, but bigger doesn't always mean better and it comes with a higher cost of living.
  2. People in the US tend to communicate in a direct but respectful manner, asking for clarification or expressing disagreements openly.
  3. Living in the US exposes you to diverse international interactions, challenges stereotypes, and provides a more complete understanding of the country.

New ways to make scientific advancements?

19 implied HN points • 04 Dec 23
🔬 Science Research Innovation Interdisciplinary
  1. Technological progress is advancing at an unprecedented rate, driven by diverse sources like companies and academia.
  2. Institutions like Bell Labs in the past and present-day industrial R&D labs showcase the benefits of structured, well-funded research initiatives.
  3. Non-profit organizations focusing on open science are emerging as crucial players in the scientific community, promoting collaboration, transparency, and interdisciplinary advancement.

Discovery and design in bio

19 implied HN points • 03 Sep 23
🔬 Science Biology Artificial Intelligence Research & Development Evolution Genetics
  1. Biology is complex and evolving, with AI playing a crucial role in advancing our understanding and abilities in the field.
  2. Biological research consists of two main pillars: discovery and design, with a focus on broadening our knowledge and engineering biology to suit human needs.
  3. Collaboration between academia, research organizations, and commercial entities is key to pushing forward progress in AI-driven biology.

Rethinking a blog

58 implied HN points • 17 Aug 22
  1. Consider rethinking and refreshing your approach instead of sticking with the same thinking process.
  2. Effective science communication is crucial to share knowledge and keep up with rapid advancements.
  3. Using a combination of Twitter threads and longer blog posts in English can be a successful strategy for reaching a wide audience.

Learning the language of biology

39 implied HN points • 31 Oct 22
  1. Computers are learning biology by processing numerical representations of biological knowledge, inspired by progress in AI for natural language processing.
  2. Historically, models for biology have transitioned from bottom-up approaches like Watson & Crick's DNA structure model to top-down approaches observing emergent properties of biological systems.
  3. Protein language models are being developed, trained through self-supervision to predict amino acids in sequences, showing potential for applications in understanding protein sequences and beyond.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Technology and biology are blending together

39 implied HN points • 28 Aug 22
  1. Technology and biology are blending together in a field known as TechBio.
  2. TechBio emphasizes an engineering-first approach to biology, AI-driven exploration of biological data, and a focus on efficient drug discovery.
  3. The blending of technology and biology is leading to advancements in DNA sequencing, digital biology with AI applications, and rapid development of vaccines and drugs.

The map of biology and its ties to technology

19 implied HN points • 02 Oct 22
  1. Technology and biology are merging in various ways today.
  2. Advancements like AlphaFold and RNA structure prediction showcase the impact of technology in molecular biology.
  3. The future of Biotech 4.0 involves integrating machine learning and nanotechnology for customized applications in microbial biotechnology.

Coming soon

19 implied HN points • 10 Aug 22
  1. The blog 'Chronicles in Tech x Bio' is about the merging of technology and biology.
  2. It is coming soon.
  3. You can subscribe to stay updated.

Pushing computational biology into the open

1 HN point • 04 Dec 22
  1. Democratization of AI tools in computational biology is on the rise, with an emphasis on accessibility and open-source principles.
  2. Key aspects of democratization include availability of code, model parameters, permissive licensing, and performance optimization.
  3. Advancements in democratized tools like AlphaFold and ESM models are driving progress in computational biology, balancing between scientific innovation and economic opportunities.