# Bioinformatics

Bioinformatics is an interdisciplinary discipline that applies computational approaches to collect, store, manipulate, and analyze biological data.

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## Improving HCLS AI reasoning with open-source agent skills

DevFeed: [Improving HCLS AI reasoning with open-source agent skills](<https://devfeed.tech/articles/improving-hcls-ai-reasoning-with-open-source-agent-skills-31521.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/improving-hcls-ai-reasoning-with-open-source-agent-skills/>)

Author: Michael Hsieh

Published: 2026-09-16T19:00:00Z

Content type: article

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [Agent Skills](<https://devfeed.tech/topics/agent-skills.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Bioinformatics](<https://devfeed.tech/topics/bioinformatics.md>), [Medical imaging](<https://devfeed.tech/topics/medical-imaging.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [amazon-quick-suite](<https://devfeed.tech/tags/amazon-quick-suite.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [healthcare](<https://devfeed.tech/tags/healthcare.md>), [healthcare-and-life-sciences](<https://devfeed.tech/tags/healthcare-and-life-sciences.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [kiro](<https://devfeed.tech/tags/kiro.md>), [life-sciences](<https://devfeed.tech/tags/life-sciences.md>), [medical-imaging](<https://devfeed.tech/tags/medical-imaging.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [strands-agents](<https://devfeed.tech/tags/strands-agents.md>)

### AI overview

This post presents 38 open-source agent skills spanning 11 healthcare and life sciences domains. The skills encode domain decision procedures for AI agents, and the reported evaluation found a 70-86% head-to-head win rate over agents without the skills.

### Source excerpt

AI agents on foundation models often misapply healthcare and life sciences decision frameworks, citing the right guideline but applying it incorrectly. This post shares 38 open-source agent skills across 11 HCLS domains that close this gap, with installation steps, three worked use cases, and a 410-prompt evaluation showing a 70-86% win rate.

## Google Research 2025: Bolder breakthroughs, bigger impact

DevFeed: [Google Research 2025: Bolder breakthroughs, bigger impact](<https://devfeed.tech/articles/google-research-2025-bolder-breakthroughs-bigger-impact-6801.md>)

Original publisher: [Read original article](<https://research.google/blog/google-research-2025-bolder-breakthroughs-bigger-impact/>)

Published: 2025-12-18T23:29:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Google](<https://devfeed.tech/topics/google.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Quantum Computing](<https://devfeed.tech/topics/quantum-computing.md>), [Algorithm](<https://devfeed.tech/topics/algorithm.md>), [data centers](<https://devfeed.tech/topics/data-centers.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Bioinformatics](<https://devfeed.tech/topics/bioinformatics.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Kaggle](<https://devfeed.tech/topics/kaggle.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [cloud-data](<https://devfeed.tech/tags/cloud-data.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [energy](<https://devfeed.tech/tags/energy.md>), [generative](<https://devfeed.tech/tags/generative.md>), [google](<https://devfeed.tech/tags/google.md>), [health](<https://devfeed.tech/tags/health.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [kaggle](<https://devfeed.tech/tags/kaggle.md>), [llm](<https://devfeed.tech/tags/llm.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [research](<https://devfeed.tech/tags/research.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [science](<https://devfeed.tech/tags/science.md>), [year-in-review](<https://devfeed.tech/tags/year-in-review.md>)

### AI overview

Google Research's 2025 review describes accelerated progress across AI, generative UI, algorithmic research, agentic models, quantum computing, Earth sciences, genomics, biology, neuroscience, climate resilience, health, and education. It also highlights work improving efficiency, reliability, factuality, and cost and energy use in Google products and cloud infrastructure.

### Source excerpt

Year in Review

## AlphaFold: Five years of impact

DevFeed: [AlphaFold: Five years of impact](<https://devfeed.tech/articles/alphafold-five-years-of-impact-6138.md>)

Original publisher: [Read original article](<https://deepmind.google/blog/alphafold-five-years-of-impact/>)

Author: Demis Hassabis; John Jumper; Pushmeet Kohli; Anna Koivuniemi; AlphaFold team

Published: 2025-11-25T16:00:12Z

Content type: article

Language: en

Sources: [Google DeepMind News](<https://devfeed.tech/sources/google-deepmind-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Bioinformatics](<https://devfeed.tech/topics/bioinformatics.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [drug-discovery](<https://devfeed.tech/tags/drug-discovery.md>), [explore](<https://devfeed.tech/tags/explore.md>), [predictions](<https://devfeed.tech/tags/predictions.md>), [research](<https://devfeed.tech/tags/research.md>), [science](<https://devfeed.tech/tags/science.md>)

### AI overview

The article examines five years of AlphaFold's impact on biological research, describing faster discovery, more novel protein structures, and increased influence on clinical research and patents. It also presents AlphaFold 3, Isomorphic Labs, and the AlphaFold Server as developments advancing AI-assisted drug discovery and digital biology.

### Source excerpt

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

## AI for Food Allergies

DevFeed: [AI for Food Allergies](<https://devfeed.tech/articles/ai-for-food-allergies-7244.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/hugging-science/ai-for-food-allergies>)

Author: Ludovico Comito; Antonis Vozikis; Vaibhav Pandey; Kisejjere Rashid

Published: 2025-10-16T22:38:11Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Bioinformatics](<https://devfeed.tech/topics/bioinformatics.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [models](<https://devfeed.tech/tags/models.md>), [research](<https://devfeed.tech/tags/research.md>), [science](<https://devfeed.tech/tags/science.md>)

### AI overview

The article introduces the AI for Food Allergies project, a community-driven research effort exploring how artificial intelligence can advance food allergy research. It describes the use of bioinformatics, machine learning, and deep learning models to analyze proteins and amino-acid sequences, identify allergen-related patterns, and improve prediction of allergenicity. The supplied text ends mid-sentence.

### Source excerpt

So, what can we do about it? In recent years, biomedical research has made several remarkable advances: from experimental vaccines and desensitization-based immunotherapies to improved diagnostic tools capable of identifying specific allergen sensitivities with unprecedented precision. These developments are pointing us in the right direction toward building long-term immune tolerance, but we're not quite there yet.

## Beacon Network at Index San Francisco 2018

DevFeed: [Beacon Network at Index San Francisco 2018](<https://devfeed.tech/articles/beacon-network-at-index-san-francisco-2018-21494.md>)

Original publisher: [Read original article](<https://mirocupak.com/beacon-network-at-index-san-francisco-2018/>)

Published: 2018-02-28T11:19:42Z

Content type: article

Language: en

Sources: [Miro Cupak](<https://devfeed.tech/sources/miro-cupak.md>)

Topics: [Bioinformatics](<https://devfeed.tech/topics/bioinformatics.md>), [data](<https://devfeed.tech/topics/data.md>), [Protocol (disambiguation)](<https://devfeed.tech/topics/protocol.md>), [Network](<https://devfeed.tech/topics/network.md>), [Statistics](<https://devfeed.tech/topics/statistics.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [beacon](<https://devfeed.tech/tags/beacon.md>), [beacon-network](<https://devfeed.tech/tags/beacon-network.md>), [case-study](<https://devfeed.tech/tags/case-study.md>), [conference](<https://devfeed.tech/tags/conference.md>), [data](<https://devfeed.tech/tags/data.md>), [developer](<https://devfeed.tech/tags/developer.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [index](<https://devfeed.tech/tags/index.md>), [protocol](<https://devfeed.tech/tags/protocol.md>), [speaking](<https://devfeed.tech/tags/speaking.md>), [statistics](<https://devfeed.tech/tags/statistics.md>), [talk](<https://devfeed.tech/tags/talk.md>), [talks](<https://devfeed.tech/tags/talks.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

A conference follow-up shares slides and a recording from a case-study talk about how DNAstack developed the Beacon Network, a global search engine for human genetic data, under the Global Alliance for Genomics & Health.

### Source excerpt

In the previous post, we talked about one of the talks I gave at the Index Developer Conference last week. In this post, we share the materials from the other one, titled How we built a global search engine for genetic data. The session was scheduled in the Real-life production deployments track. Unlike the talks I usually...