---
id: "/science-medicine/page/6/"
title: "Science & medicine · page 6"
url: "https://skillissue.dev/science-medicine/page/6/"
---

# Science & medicine

Science & medicine

- [biology & protein](/science-medicine/biology-protein/index.md) (30)

- [earth, energy & environment](/science-medicine/earth-energy-environment/index.md) (28)

- [general](/science-medicine/general/index.md) (4)

- [materials & chemistry](/science-medicine/materials-chemistry/index.md) (24)

- [mathematics](/science-medicine/mathematics/index.md) (20)

- [medicine & health](/science-medicine/medicine-health/index.md) (36)

- [physics & simulation](/science-medicine/physics-simulation/index.md) (69)

- [weather & climate](/science-medicine/weather-climate/index.md) (24)

[Beginner](/science-medicine/beginner/index.md) [Intermediate](/science-medicine/intermediate/index.md) [Advanced](/science-medicine/advanced/index.md) [Expert](/science-medicine/expert/index.md)

235 resources · page 6 of 8

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### [ECMWF AIFS](/frontier/research-feeds/ecmwf-aifs/index.md)

by [European Centre for Medium-Range Weather Forecasts (ECMWF)](https://www.ecmwf.int/)

ECMWF page on AIFS, its operational machine-learning weather forecasting system, with model versions and open data access.

Intermediate–Advanced learning_resource docs EU en 

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### [Grid2Op getting started: small example notebook](/frontier/research-feeds/electricity-grid-agent-simulation-grid2op-small-example-notebook/index.md)

by [Grid2Op](https://grid2op.energy)

Grid2Op small-example notebook showing how to simulate power-grid control with agents.

Intermediate learning_resource guide EU (FR) en 

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### [Equational Theories Project (Tao et al.)](/frontier/research-feeds/equational-theories-project-tao-et-al/index.md)

by [teorth](https://github.com/teorth)

Terence Tao's Equational Theories Project: crowdsourced and automated-prover mapping of implications between equational laws.

Intermediate learning_resource guide US/Global en 

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### [exoplanet-ml: AstroNet](/frontier/research-feeds/exoplanet-transit-classification-astronet-training-and-evaluation/index.md)

by [Google Research](https://research.google)

Google Research AstroNet README: training and evaluating a neural network that classifies exoplanet transits.

Intermediate learning_resource guide US en 

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### [FutureHouse](/frontier/research-feeds/futurehouse/index.md)

by [FutureHouse](https://futurehouse.org/)

FutureHouse research page: publications and tools from the non-profit building AI agents for scientific research.

Intermediate–Advanced learning_resource docs US en 

- 

### [Google AMIE](/frontier/research-feeds/google-amie/index.md)

by [Google Research](https://research.google/)

Google Research post on AMIE, a research AI system for diagnostic medical reasoning and patient conversations.

Intermediate learning_resource blog US en 

- 

### [IBM Granite time-series cookbook](/frontier/research-feeds/ibm-granite-time-series-cookbook/index.md)

by [IBM Granite Community](https://www.ibm.com/granite)

IBM Granite time-series cookbook GitHub repo: notebooks on forecasting, fine-tuning and evaluation with Granite time-series models.

Intermediate learning_resource guide US en 

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### [Anomalib in 15 Minutes](/frontier/research-feeds/manufacturing-visual-defect-inspection-anomalib-in-15-minutes-verified-f/index.md)

by [Anomalib project (Open Edge Platform)](https://github.com/open-edge-platform/anomalib)

Anomalib 15-minute tutorial: training a model to detect visual anomalies in a dataset.

Intermediate learning_resource guide US/global en 

- 

### [Mathlib overview](/frontier/research-feeds/mathlib-overview/index.md)

by [leanprover-community](https://leanprover-community.github.io/)

Mathlib overview page mapping which areas of mathematics are formalised in the Lean mathlib library.

Intermediate learning_resource docs Global en 

- 

### [WHO: Ethics and governance of AI for health](/frontier/research-feeds/medicine-clinical/index.md)

by [World Health Organization](https://who.int/)

WHO guidance on ethics and governance of large multimodal models in health.

Intermediate learning_resource guide Global en 

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### [WeatherNext 1 Graph (GraphCast) guide](/frontier/research-feeds/medium-range-weather-forecasting-weathernext-1-graph-graphcast-guide/index.md)

by [Google DeepMind](https://www.deepmind.com/)

Google DeepMind WeatherNext 1 Graph (GraphCast) documentation for medium-range weather forecasting.

Intermediate learning_resource guide UK en 

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### [APA: Artificial intelligence and machine learning topic page](/frontier/research-feeds/mental-health-companionship-risks/index.md)

by [American Psychological Association (APA)](https://www.apa.org/)

American Psychological Association topic page on artificial intelligence and machine learning, including mental-health implications.

Intermediate learning_resource guide 

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### [NASA Harvest](/frontier/research-feeds/nasa-harvest/index.md)

by [NASA Harvest](https://nasaharvest.org/)

NASA Harvest consortium site: satellite data and machine learning for agriculture and food security monitoring.

Intermediate learning_resource course US/Global en 

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### [Open Data Science](/frontier/research-feeds/open-data-science/index.md)

by [Open Data Science (ODS.ai)](https://ods.ai/)

Open Data Science (ODS.ai): Russian-speaking data science community with courses, events and competitions.

Intermediate learning_resource guide Russia-origin; international ru 

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### [Physics-informed machine learning (Nature Reviews Physics)](/frontier/research-feeds/physics-informed-machine-learning-nature-reviews-physics/index.md)

by [George Em Karniadakis et al. (Brown University)](https://www.brown.edu/)

Nature Reviews Physics review (2021) of physics-informed machine learning.

Intermediate–Advanced learning_resource paper West en 

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### [PlantCV documentation](/frontier/research-feeds/plantcv/index.md)

by [Donald Danforth Plant Science Center (PlantCV)](https://plantcv.org/)

PlantCV documentation: image analysis library for plant phenotyping with computer vision.

Intermediate learning_resource docs US en 

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### [QuPath](/frontier/research-feeds/qupath/index.md)

by [QuPath](https://qupath.github.io/)

QuPath: open-source software for digital pathology and whole-slide image analysis with ML classifiers.

Intermediate learning_resource docs UK/global en 

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### [The AI Scientist (Sakana AI)](/frontier/research-feeds/scientific-discovery-agents/index.md)

by [Sakana AI](https://sakana.ai/)

Sakana AI page on The AI Scientist, a system for automated open-ended scientific research and paper writing.

Intermediate learning_resource guide Japan en 

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### [Scanpy: Preprocessing and clustering 3k PBMCs](/frontier/research-feeds/single-cell-transcriptomic-clustering-scanpy-preprocessing-and-clustering-3k-pbm/index.md)

by [scverse (Scanpy)](https://scverse.org/)

Scanpy tutorial on preprocessing and clustering 3k PBMC single-cell RNA-seq data.

Intermediate learning_resource guide Germany/global en 

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### [Wild Me documentation](/frontier/research-feeds/wild-me-documentation/index.md)

by [Wild Me (Conservation X Labs)](https://www.wildme.org/)

Wild Me documentation: computer-vision software that matches photos of individual animals for wildlife research.

Intermediate learning_resource docs US/global en 

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### [Actuarial Data Science](/frontier/research-feeds/actuarial-data-science/index.md)

by [Swiss Association of Actuaries (Actuarial Data Science)](https://www.actuarialdatascience.org/)

Actuarial Data Science site from the Swiss Association of Actuaries with tutorials and notebooks applying ML to insurance.

Advanced learning_resource course Switzerland/global en 

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### [AIFS paper (ECMWF)](/frontier/research-feeds/aifs-paper-ecmwf/index.md)

by [Simon Lang et al. (ECMWF)](https://www.ecmwf.int/)

arXiv paper (2024) describing AIFS, ECMWF's data-driven weather forecasting system.

Advanced–Expert learning_resource paper West en 

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### [AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms](/frontier/research-feeds/alphaevolve/index.md)

by [Google DeepMind](https://deepmind.google/)

Google DeepMind post on AlphaEvolve, a Gemini-based coding agent that evolves algorithms for maths and computing problems.

Advanced learning_resource blog West en 

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### [AlphaFold 2 Nature paper](/frontier/research-feeds/alphafold-2-nature-paper/index.md)

by [John Jumper et al. (DeepMind)](https://deepmind.google/)

Nature paper (2021) on AlphaFold 2, highly accurate protein structure prediction.

Advanced learning_resource paper West en 

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### [Olympiad-Level Formal Mathematical Reasoning with Reinforcement Learning (AlphaProof)](/frontier/research-feeds/alphaproof-google-research-publication-page/index.md)

by [Google Research](https://research.google/)

Google Research publication on AlphaProof: olympiad-level formal mathematical reasoning with reinforcement learning.

Advanced learning_resource paper UK/US en 

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### [Aurora](/frontier/research-feeds/aurora/index.md)

by [Cristian Bodnar et al. (Microsoft)](https://www.microsoft.com/)

arXiv HTML version of the Aurora paper (2024) on a foundation model of the atmosphere.

Advanced–Expert learning_resource paper Global (Microsoft Research; Ca en 

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### [Autoware Documentation](/frontier/research-feeds/autoware/index.md)

by [Autoware Foundation](https://autoware.org/)

Autoware documentation: open-source autonomous-driving software stack, with architecture, setup and deployment guides.

Advanced learning_resource docs Japan/global en 

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### [Baidu PaddleHelix](/frontier/research-feeds/baidu-paddlehelix/index.md)

by [PaddlePaddle](https://www.paddlepaddle.org.cn/)

Baidu PaddleHelix GitHub repo: bio-computing platform on PaddlePaddle for drug discovery and protein models.

Advanced learning_resource guide China en|zh 

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### [CARLA](/frontier/research-feeds/carla/index.md)

by [CARLA team](https://carla.org/)

CARLA simulator documentation: setup, Python API, sensors and scenarios for autonomous-driving research.

Advanced learning_resource docs Spain/global en 

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### [Chemprop](/frontier/research-feeds/chemprop/index.md)

by [Chemprop team (MIT)](https://github.com/chemprop/chemprop)

Chemprop documentation: PyTorch framework for training message-passing neural networks for molecular property prediction.

Advanced learning_resource docs US/global en 

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### [CityLearn](/frontier/research-feeds/citylearn/index.md)

by [CityLearn (Intelligent Environments Lab, UT Austin)](https://www.citylearn.net/)

CityLearn documentation: open-source Gymnasium environment for reinforcement learning in building energy and demand response.

Advanced learning_resource docs Global en 

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### [ClimaX](/frontier/research-feeds/climax/index.md)

by [Tung Nguyen et al. (UCLA and Microsoft Research)](https://www.microsoft.com/en-us/research/)

ICML 2023 paper ClimaX: a foundation model for weather and climate.

Advanced–Expert learning_resource paper Global (Microsoft Research; UC en 

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