phillipmelton.bsky.social
@phillipmelton.bsky.social
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Be kind to each other.. bad news for most coming in under embargo. We need more funding in the system...
November 26, 2025 at 4:40 AM
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📣 The call for tutorials & workshops at #ECCB2026 is now open! Share your tools, methods or expertise with the community.
🗓️ Deadline: 5 January 2026
👉 Submit: tinyurl.com/tw-eccb26

💡 ECCB will take place on 31 Aug–4 Sept in Geneva, gathering 1,000+ scientists from academia, industry, & healthcare.
November 3, 2025 at 8:09 AM
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Last day to register for #ABACBS2025. Dont miss out on all of the fun! www.abacbs.org/abacbs2025
ABACBS 2025 Conference
Adelaide, South Australia. Nov. 24-
www.abacbs.org
November 17, 2025 at 10:30 PM
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CSIRO in Hobart is hiring an #eDNA data specialist! Great team with wonderfully nice people (I can vouch for that), and what a location
www.linkedin.com/jobs/view/43...
CSIRO hiring eDNA Data Specialist in Hobart, Tasmania, Australia | LinkedIn
Posted 9:43:08 AM. Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters…See this and similar jobs on LinkedIn.
www.linkedin.com
November 11, 2025 at 1:21 AM
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🚨 Abstract deadline extended! 🚨

You’ve now got until August 15 to submit for #ABACBS2025 — one-time extension only!
Join us in Adelaide for world-class #bioinformatics, workshops, student & EMCR events, and more.

🔗 www.abacbs.org/abacbs2025
ABACBS 2025 Conference
Adelaide, South Australia. Nov. 24-
www.abacbs.org
August 5, 2025 at 12:16 AM
Our preprint where we look for longitudinal prediction of #BMI using explainable #AI, specifically Kolmogorov-Arnold networks (#KANS) www.medrxiv.org/content/10.1...
Longitudinal Prediction of BMI using Explainable AI: Integrating Polygenic Scores, Maternal, Early-Life and Familial Factors
Background/Objectives This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood using explainable artificial intelligence, integrating polygenic scores (PGS), ma...
www.medrxiv.org
August 6, 2025 at 6:15 AM
Interesting article describing the difference between interpretability and explainability in machine learning and what this means for #AI research ieeexplore.ieee.org/document/108...
Investigating the Duality of Interpretability and Explainability in Machine Learning
The rapid evolution of machine learning (ML) has led to the widespread adoption of complex “black box” models, such as deep neural networks and ensemble methods. These models exhibit exceptional predi...
ieeexplore.ieee.org
August 6, 2025 at 6:13 AM
Our explainable #AI preprint that uses a Kolmogorov-Arnold model (#KAN) to predict childhood #obesity using early-life factors and #polygenic risk.
Explainable AI to predict a complex multifactorial outcome, childhood obesity: Application to clinical epidemiology https://www.medrxiv.org/content/10.1101/2025.06.21.25330041v1
June 25, 2025 at 10:38 PM
From scientific theory to duality of predictive artificial intelligence models: Cell Reports Physical Science www.cell.com/cell-reports...
From scientific theory to duality of predictive artificial intelligence models
The author presents a conceptual framework for explainable artificial intelligence (XAI) encompassing model explanation, interpretation, and causality, guided by principles from scientific theory. He ...
www.cell.com
May 7, 2025 at 5:26 AM