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Monday, 11 November 2024

Does the UK’s liver transplant matching algorithm systematically exclude younger patients?

AI as Normal Technology 1 year ago 20

The UK's liver transplant matching algorithm systematically discriminates against younger patients by using a 5-year survival prediction window that underestimates their lifetime benefit from transplantation. A 2024 study in The Lancet confirmed the bias, with hepatologists reporting that patients below 45 years old cannot score high enough for priority regardless of illness severity. The algorithm's design flaw—predicting 5-year rather than lifetime survival outcomes—causes younger patients' calculated benefit to appear similar to older patients' despite their potential to gain decades more life from transplant.

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Healthcare AI

Qwen2.5-Coder Series: Powerful, Diverse, Practical.

GitHub Pages 1 year ago 16

Alibaba open-sourced the Qwen2.5-Coder series, a collection of code generation models ranging from 0.5B to 32B parameters designed for code assistance and artifact creation. The flagship 32B model achieved state-of-the-art performance on multiple benchmarks including EvalPlus, LiveCodeBench, and BigCodeBench, matching GPT-4o's coding capabilities and scoring 73.7 on the Aider code repair benchmark. The release provides developers with six model sizes under permissive licenses (mostly Apache 2.0) to integrate into code assistants like Cursor and creative applications that generate websites and visualizations.

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Open Source

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