Preprint Watch

Machine learning prediction for early-stage melanoma outcomes: recurrence-free survival, disease-specific survival, and overall survival

Leave a Comment / medRxiv, Normal Science /

URL https://www.medrxiv.org/content/10.1101/2025.05.28.25328519v1.pdf Stage Normal Science Paradigm framing The paradigm is the established understanding of melanoma outcomes prediction within the oncological field, with the focus on improving prognostic accuracy through existing frameworks. Highlights This research operates within the 'normal science' stage of Kuhn's paradigm cycle. It accepts the existing paradigm of using clinicopathological data and established

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Identifying phage proteins that activate the bacterial innate immune system

Leave a Comment / bioRxiv, Normal Science /

URL https://www.biorxiv.org/content/10.1101/2025.07.02.662641v1.full.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of molecular biology and genetics, specifically focusing on the co-evolutionary arms race between bacteria and bacteriophages. It adheres to the established understanding of bacterial immune systems and phage infection mechanisms. Highlights This preprint firmly falls within the "Normal Science" stage of

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An integrated brain-machine interface platform with thousands of channels

Leave a Comment / bioRxiv, Normal Science /

URL https://www.biorxiv.org/content/10.1101/703801v4.full.pdf Stage Normal Science Paradigm framing The paradigm is Brain-Machine Interfaces (BMIs) for restoration of sensory and motor function and treatment of neurological disorders. Highlights This preprint presents incremental advancements within the existing paradigm of BMIs. It focuses on improving the scalability and bandwidth of BMIs by developing novel electrode "threads", a neurosurgical robot

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Human induced pluripotent stem cell-derived microglia with a CX3CR1-V249I genetic variant exhibit dysfunctional phenotypes and modulate neuronal growth and function

Leave a Comment / bioRxiv, Normal Science /

URL https://www.biorxiv.org/content/10.1101/2025.07.01.662163v1.full.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of using human induced pluripotent stem cells (hiPSCs) and CRISPR technology to model human diseases, specifically neurodegenerative diseases, in vitro. It also adheres to the paradigm of studying microglia and their role in neuroinflammation and neurodegeneration. Highlights This research represents a

Human induced pluripotent stem cell-derived microglia with a CX3CR1-V249I genetic variant exhibit dysfunctional phenotypes and modulate neuronal growth and function Read More »

Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT’s accuracy and reproducibility

Leave a Comment / medRxiv, Normal Science /

URL https://www.medrxiv.org/content/10.1101/2024.11.19.24317555v2.full-text.pdf Stage Normal Science Paradigm framing Artificial intelligence; Natural language processing; Large language models; Institutional review board review; Research ethics Highlights This preprint presents a pilot study exploring the use of ChatGPT for pre-institutional review board (IRB) review of clinical research documents. It focuses on evaluating the accuracy and reproducibility of ChatGPT in extracting

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Cobalt bis(dicarbollide) is a DNA-neutral pharmacophore

Leave a Comment / chemRxiv, Normal Science /

URL https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/64660c73f2112b41e9c0f70d/original/cobalt-bis-dicarbollide-is-a-dna-neutral-pharmacophore.pdf Stage Normal Science Paradigm framing The paradigm framing of this research preprint is the well-established understanding of DNA interactions with small molecules, particularly those used as therapeutic agents. This includes the accepted mechanisms of DNA binding, such as intercalation, groove binding, and electrostatic interactions, and the typical structural characteristics of molecules that engage

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Metal Polluted White Dwarfs with 21 μm IR excesses from JWST/MIRI: Planets or Dust?

Leave a Comment / arXiv, Model Drift, Normal Science /

URL https://arxiv.org/pdf/2506.21224.pdf Stage Normal Science / Model Drift Paradigm framing The current paradigm is that metal pollution in white dwarfs arises from the accretion of planetary debris. This is supported by spectroscopic observations and abundance patterns consistent with rocky material. The paradigm includes theoretical models of tidal disruption events and planetary system evolution post-main sequence.

Metal Polluted White Dwarfs with 21 μm IR excesses from JWST/MIRI: Planets or Dust? Read More »

Ecosystems as adaptive living circuits

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2506.22017.pdf Stage Model Drift Paradigm framing The current paradigm focuses on the non-equilibrium nature of biological systems, where the coupling to external energy sources is a fixed parameter. This preprint challenges this assumption by highlighting that energy dissipation is an adaptive, dynamic variable in living systems. Highlights This preprint identifies a limitation in existing

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scite: a smart citation index that displays the context of citations and classifies their intent using deep learning

Leave a Comment / bioRxiv, Normal Science /

URL https://web.archive.org/web/20210325215755id_/https://www.biorxiv.org/content/biorxiv/early/2021/03/16/2021.03.15.435418.full.pdf Stage Normal Science Paradigm framing Scientometrics, Bibliometrics, and Deep Learning Highlights This preprint presents scite, a novel citation indexer that uses deep learning to classify citations based on their context within citing papers. This work falls under the normal science stage of Kuhn's paradigm cycle. The preprint operates within the existing paradigms of

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Title detection: a novel approach to automatically finding retractions and other editorial notices in the scholarly literature

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2210.09553.pdf Stage Normal Science Paradigm framing Scholarly metadata and the need for its comprehensive accessibility. Highlights The preprint presents a novel approach to detecting editorial notices (retractions, withdrawals, errata, etc.) in scholarly literature. It acknowledges the existing paradigm of metadata indexing (Crossref, PubMed) but identifies limitations such as incompleteness and inconsistencies in publisher practices.

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