Preprint Watch

Value Creation for Healthcare Ecosystems through Artificial Intelligence Applied to Physician-to-Physician Communication: A Systematic Review

Leave a Comment / Normal Science, Research Square /

URL https://link.springer.com/content/pdf/10.1007/s11063-025-11725-1.pdf Stage Normal Science Paradigm framing Artificial intelligence, natural language processing, and large language models in healthcare. Highlights This systematic review investigates the application of AI to physician-to-physician communication within the existing paradigm of AI in healthcare. It explores the potential of AI to augment physicians' capabilities, particularly in decision-making and knowledge sharing, without

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Context dependent adaptation in a neural computation

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2509.01760.pdf Stage Normal Science Paradigm framing The preprint operates within the paradigm of efficient coding, specifically focusing on how neural systems adapt to the statistics of sensory inputs to maximize information transmission. It uses the established framework of spike-triggered analysis and information theory to investigate the adaptive behavior of the fly visual neuron H1.

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Synthetic mRNA Vaccines and Transcriptomic Dysregulation: Evidence from New-Onset Adverse Events and Cancers Post-Vaccination

Leave a Comment / Model Drift /

URL https://blog.fdik.org/2025-07/preprints202507_2155_v1.pdf Stage Model Drift Paradigm framing The preprint operates within the dominant paradigm of molecular biology and immunology, specifically focusing on transcriptomics and immune responses related to mRNA vaccines. Highlights This preprint presents findings that challenge certain aspects of the current understanding of mRNA vaccine safety, potentially indicating a model drift. While not proposing

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Contrasting Effects of SARS-CoV-2 Vaccination vs. Infection on Antibody and TCR Repertoires

Leave a Comment / bioRxiv, Normal Science /

URL https://www.biorxiv.org/content/10.1101/2023.09.08.556703v2.full.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of immunology, specifically focusing on adaptive immune responses mediated by B cells and T cells. It investigates the changes in antibody and T cell receptor repertoires following SARS-CoV-2 infection and vaccination. Highlights This research firmly falls within the "normal science" phase

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RNAtranslator: Modeling protein-conditional RNA design as sequence-to-sequence natural language translation

Leave a Comment / bioRxiv, Normal Science /

URL https://www.biorxiv.org/content/10.1101/2025.03.04.641375v2.full.pdf Stage Normal Science Paradigm framing The paradigm is the use of computational methods for RNA sequence design. Highlights This preprint presents RNAtranslator, a novel computational method for designing RNA sequences that bind to specific proteins. It frames the problem as a sequence-to-sequence translation task, leveraging the power of large language models. This approach

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The Shift Towards Preprints in AI Policy Research: A Comparative Study of Preprint Trends in the U.S., Europe, and South Korea

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2505.03835.pdf Stage Normal Science Paradigm framing Open Science Highlights This preprint examines the impact of global events (COVID-19, ChatGPT) on preprint citation trends in AI policy research across the U.S., Europe, and South Korea. It operates within the open science paradigm, which promotes transparency and accessibility in research dissemination. The study analyzes bibliometric data

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The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2507.06187.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of Supervised Fine-tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) for Large Language Model (LLM) optimization. Highlights This preprint presents the "delta learning hypothesis," which suggests that improvements to LLMs can be achieved by leveraging the relative difference in quality

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Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2504.01029.pdf Stage Model Drift Paradigm framing Socio-Technical, Governance, and Human-Computer Interaction Highlights This preprint analyzes real-world incidents related to AI systems through the lens of Thomas Kuhn's paradigm cycle. While it doesn't propose a radical shift in our understanding of AI (a paradigm shift), it does highlight significant discrepancies between existing theoretical frameworks and

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A Fog Over the Cosmological SGWB: Unresolved Massive Black Hole Binaries in the LISA Band

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2506.18965.pdf Stage Normal Science Paradigm framing The preprint operates within the established paradigm of modern cosmology and astrophysics, specifically focusing on the detection and characterization of stochastic gravitational-wave backgrounds (SGWBs). This paradigm encompasses the theoretical framework of general relativity, the standard cosmological model (ΛCDM), and the astrophysical understanding of black hole formation and evolution.

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Dissecting the Genetic Relationship Between Severe Mental Disorders and Autoimmune Diseases

Leave a Comment / medRxiv, Normal Science /

URL https://www.medrxiv.org/content/10.1101/2025.06.22.25330080v1.full.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of genetic epidemiology, specifically focusing on the interplay of genes and environment in complex diseases. It adheres to the established methodologies of Genome-Wide Association Studies (GWAS) and related statistical analyses. Highlights This preprint investigates the genetic relationship between severe mental disorders

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