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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 09/10/2026

Our October issue is now live! www.cell.com/patterns/iss... Our cover this month highlights the work by Sakaguchi et al, which presents a method for "disentangling" single-cell transcriptome data obscured by batch effects. www.cell.com/patterns/ful...

On the cover this month, blobs of color overlaid with swirling lines and arrows become progressively more crisp and clear at the center of the image. This was inspired by Kanade, a method described in the paper by Sakaguchi et al. that clarifies single-cell omics data obscured by batch effects and supports downstream analyses such as RNA velocity. Cover design by Shunta Sakaguchi.

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Andrew L. Hufton @alhufton.bsky.social · 11/08/2026

To help diversify the voices published at Patterns, we have released a call for papers aimed at researchers in low- and middle-income countries. If your primary affiliation is in one of these countries & you have a story to share with data scientists around the world, please consider submitting!

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 18/06/2026

This Pride Month 🏳️‍🌈, we celebrate the LGBTQ+ researchers, authors, and editors who make science richer, bolder, and more human. We invite you to revisit these past Cell Press collections: LGBTQ+ in science: www.cell.com/cp/collectio... Building inclusivity in science: www.cell.com/cp/collectio...

cell.com

LGBTQ+ in science: Cell Press

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Andrew L. Hufton @alhufton.bsky.social · 17/06/2026

To be clear, I am quite concerned about the flood of AI-generated content in the scientific sphere. I just think, respectfully, that AI detectors must be used with a lot of caution.

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Andrew L. Hufton @alhufton.bsky.social · 17/06/2026

I think we want these to be like plagiarism detectors, but they are not. For a plagiarism detector, you have a certain ground-truth (the overlap between the two works) that can be assessed independently to validate the detector's suspicion.

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Andrew L. Hufton @alhufton.bsky.social · 17/06/2026

If their false positive rates align with our own biases, then they are just bias amplifiers. For example, reports have shown a higher false positive for non-native English speakers. Maybe that applies mainly to older generation detectors, but what biases do the current detectors have?

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Andrew L. Hufton @alhufton.bsky.social · 17/06/2026

Oh, I certainly respect the general concern and do see lots of content these days that I suspect is AI-generated. I'm just not sure that AI detectors are helping right now. We want them to help us confirm suspicions, but I'm not convinced they fill that role.

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Andrew L. Hufton @alhufton.bsky.social · 17/06/2026

If you deploy something this in a context where 1/100 pieces of content are truly AI generated, you'd get two false positives and one true positive. Two people burdened with potentially life-changing false accusations, for one real "catch".

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Andrew L. Hufton @alhufton.bsky.social · 17/06/2026

I think we need to be really cautious about using AI detectors in this fashion. First, independent evaluations have suggested the false positive rate for these tools (including Pangram) is higher than advertised. This study found 2% false positive rate for Pangram: arxiv.org/pdf/2501.15654

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 20/05/2026

Reminder: our Reanalysis call for papers closes on August 1st We are inviting submissions that present compelling and creative reanalyses of prior works of high importance and broad impact. Learn more: www.cell.com/patterns/spe...

cell.com

Cell Press: Patterns

Patterns is calling for submissions presenting compelling and creative reanalyses of prior works of high importance and broad impact.

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Reposted by Andrew L. Hufton

Cell Press @cellpress.bsky.social · 22/04/2026

Generative #AI may cut costs in machine-learning, but could this also increase risks of cyberattacks and data leaks? Computer scientist Michael Lones shares his view. Read the paper: www.cell.com/patterns/ful... @cp-patterns.bsky.social

first page of paper "Pitfalls and risks of generative AI in machine learning"

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Andrew L. Hufton @alhufton.bsky.social · 03/05/2026

Survey results will be incorporated into a policy brief to be showcased at the UN Biodiversity SBI meeting in August. Learn more about the network and its activities here: www.dsiscientificnetwork.org

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Andrew L. Hufton @alhufton.bsky.social · 03/05/2026

Are you a researcher that uses non-human genetic sequence data? The DSI Scientific Network would like to hear from you. The network is currently conducting a survey on capacity building and benefit sharing. Share your views by May 15th: docs.google.com/forms/d/e/1F...

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Reposted by Andrew L. Hufton

Open Access Tracking Project @oatp.fediscience.org.ap.brid.gy · 15/04/2026

Trump administration withdraws appeal, securing historic victory for libraries and IMLS | ALA www.ala.org/news/2026/04/trump-admi…

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 10/04/2026

We are hiring! Are you a researcher in #datascience, machine learning, artificial intelligence, statistics, or a related field? Are you passionate about #openscience and clear scientific communication? If yes, please check out this opportunity: www.linkedin.com/jobs/view/43...

linkedin.com

Cell Press hiring Scientific Editor in United Kingdom | LinkedIn

Posted 10:50:19 AM. Position: Scientific Editor, PatternsCompany: Elsevier, The Cell Press journal Patternspreferred…See this and similar jobs on LinkedIn.

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 10/04/2026

Our April issue is now live! www.cell.com/patterns/iss... On the cover this month is an image of cells experiencing phospholipidosis, highlighting the paper by Kuzikov et al that develops a phospholipidosis risk prediction model to advance drug screening www.cell.com/patterns/ful...

This month's cover image, related to the study by Kuzikov et al., shows a representative cellular phenotype of drug-induced phospholipidosis. The effect is characterized by the excessive accumulation of phospholipids within cells that also can be induced by cationic amphiphilic drugs. Using the shown high-content imaging, the drug-induced phospholipidosis phenotype was characterized, and over 5,000 repurposed drugs were annotated for the ability to induce phospholipidosis. The results were then used to understand which compounds are likely to induce phospholipidosis based on a drug’s chemical structure, finally resulting in the development of a machine learning model capable of predicting the risk of phospholipidosis. Image provided by Mariya Pereverzeva.

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Andrew L. Hufton @alhufton.bsky.social · 10/04/2026

DeekSeek, in contrast, performs notably better in the no-evidence context. It really struggles, however, when the right answer is "no". It really, really wants to say "yes".

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Andrew L. Hufton @alhufton.bsky.social · 10/04/2026

The things that I find most interesting about this paper are the differences between the tested models. The OpenAI and Claude models tend to perform similarly and have a common weakness in "no-evidence" contexts, i.e. they like to make up an answer even if there isn't medical evidence.

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Andrew L. Hufton @alhufton.bsky.social · 12/03/2026

Make sure your voice is heard in this important community consensus building effort! Interested researchers and organizations should contact the consortium as soon possible, as work is planned to start this month. More details available in the paper ↓

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Andrew L. Hufton @alhufton.bsky.social · 16/02/2026

Opinion is a flexible format at @cp-patterns.bsky.social and was chosen in this case, in part, because of the brevity and the broad societal relevance of the piece. Code and data supporting the piece are available here doi.org/10.5281/zeno...

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Andrew L. Hufton @alhufton.bsky.social · 16/02/2026

Just jumping in here to make a clarifying point (I am the Editor-in-Chief of the journal that published this Opinion). This paper from Liang et al was peer-reviewed at the journal and does report original research.

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Reposted by Andrew L. Hufton

Dan Quintana @dsquintana.bsky.social · 16/02/2026

If you’re going to write a tutorial paper describing a tool or method, it makes a world of difference showing the paper to someone unfamiliar with the tool and asking them to recreate the examples. Some of these papers can be really tricky to follow

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Andrew L. Hufton @alhufton.bsky.social · 04/02/2026

Sharing a blog post from the #DukeNUS team about a talk I gave last month: www.duke-nus.edu.sg/newshub/our-... It was great visit with some really engaging discussions. Thanks to @nliulab.bsky.social for the invitation!

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Andrew L. Hufton @alhufton.bsky.social · 14/01/2026

I'm looking forward to attending #AAAI next week in Singapore! For anyone that is interested in meeting-up and learning about Patterns or @cellpress.bsky.social, or just wants to chat about #openscience, please DM me. Glad give tips and early advice on potential submissions.

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 09/01/2026

Our first issue of 2026 is now live! www.cell.com/patterns/iss... This month's cover image highlights a framework, IoT-LLM, for applying large language model driven reasoning to real-world sensor data www.cell.com/patterns/ful...

On the cover: The central brain in this image represents IoT-LLM, a framework for processing real-world sensor data with large language models, which is described by An et al. in this issue of Patterns. IoT-LLM provides a central reasoning core that connects and interprets heterogeneous sensor inputs grounded in the physical world such as electrocardiography, temperature, motion, camera images, and robotic system sensors. In the image, these data streams converge on the central model, highlighting how IoT-LLM performs retrieval-augmented fusion and structured reasoning across different data types. Systems like IoT-LLM are laying a foundation for future embodied robots operating in real-world environments. Image credit: An Tuo, Nanyang Technological University.

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 09/01/2026

Check out some of our best papers from 2025, as selected by the journal's editors info.cell.com/collection-r...

Text on image reads: Patterns, A Cell Press journal, Editors' Pick, Best of 2025, Explore the collection

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Andrew L. Hufton @alhufton.bsky.social · 22/12/2025

My tools for generating data citations and exploring journal citation distributions are running again. Thanks @dreamhost.bsky.social for supporting #Perl! alhufton.com/tools/

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Reposted by Andrew L. Hufton

Cell Press @cellpress.bsky.social · 17/12/2025

"The carbon and water footprints of data centers and what it could mean for artificial intelligence" spkl.io/63320AiLLe Alex de Vries-Gao, @digiconomist.bsky.social @cp-patterns.bsky.social

Absract of the Patterns Perspective: "The carbon and water footprints of data centers and what this could mean for artificial intelligence"

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Reposted by Andrew L. Hufton

Daniel Swain @weatherwest.bsky.social · 17/12/2025

Unbelievable. This would be a terrible blow to American science, writ large. It would decimate not only climate research, but also the kind of weather, wildfire, and disaster research that has underpinned half a century of progress in prediction, early warning, and increased resilience.

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 12/12/2025

Our December issue is live! www.cell.com/patterns/iss... On the cover this month is an image highlighting the work by David Fernandez Bonet and co-authors, which introduces a set of geometry-based metrics for assessing the quality of DNA barcode networks www.cell.com/patterns/ful...

On the cover: The image, related to the work by Fernandez Bonet et al., shows a series of spatially coherent networks, explored with breadth-first search to differing depths. The emerging predictable scaling pattern revealed by the progression is indicative of geometric consistency, and this feature can be detected in networks as an indication of how “spatial” a network is. Image credit to Ian Hoffecker and David Fernandez Bonet.

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

All our reviews are published open access, like all content at @cp-patterns.bsky.social. Our article processing charge (APC) is usually waived for invited reviews. Authors who want to submit but find our APC a barrier should contact us at patterns@cell.com. 9/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

Regarding length, we usually advise that reviews stay under 10,000 words and 150 references, but we are willing to make exceptions. See this survey of multilingual LLMs for an example of a longer, survey-style review paper published at the journal: www.cell.com/patterns/ful... 8/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

Authors are permitted to use tools to help automate paper selection. AI tools, when used at any stage in manuscript preparation, must be declared per Elsevier policies. Use of open source tools is encouraged (see e.g. the recent paper on ASReview 2.0 www.cell.com/patterns/ful...). 7/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

We generally do not consider systematic reviews, but we do make exceptions on a case-by-case basis for highly valuable survey papers. 6/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

The quality & novelty of the review are, of course, also crucial. We prefer reviews that synthesize and highlight the best works in a field, rather than just listing. See some tips on writing a great review from our colleagues at the Trends journals: www.elsevier.com/connect/six-... 5/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

Only a minority of submissions will be chosen for in-depth peer-review. We select for reviews that are on topics that we feel will be of broad interest to our readers and which are written by researchers with experience & authority on the topic. 4/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

Many reviews published at the journal are invited, but spontaneous submissions are welcome. Visit our information for authors page to learn more about submitting to the journal: www.cell.com/patterns/inf... 3/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

First, we are definitely glad to receive submissions of high-quality literature review papers! Past reviews published at the journal can be browsed here: www.cell.com/action/doSea... 2/n

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Andrew L. Hufton @alhufton.bsky.social · 20/11/2025

I've received some questions recently about the kinds of literature reviews we consider at @cp-patterns.bsky.social. Given also changes at the CS section of arXiv (blog.arxiv.org/2025/10/31/a...), I thought it would be timely to share some tips on submitting review papers to the journal. 1/n

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Andrew L. Hufton @alhufton.bsky.social · 14/11/2025

Is #AI overhyped? We asked five researchers, including three from @cp-patterns.bsky.social's Advisory Board. Here's what they thought: www.cell.com/patterns/ful...

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Reposted by Andrew L. Hufton

Sundar Balakrishnan @drsundar.bsky.social · 26/10/2025

2️⃣ Researchers tested this idea using a large-scale controlled resume correspondence experiment. SCARY Result: LLMs consistently preferred resumes written by themselves over human or rival model outputs — even when quality was the same. 2/n

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 20/10/2025

New call for submissions! To help promote critical reassessment of prior work, we are now inviting submissions that present compelling and creative reanalyses. Learn more: www.cell.com/patterns/spe... Submit before August 1, 2026 #openscience #datascience

Text presented over a blue and orange background reads: Patterns, a Cell Press journal. Call for papers: Reanalysis. Compelling and creative reanalyses of prior works of high importance and broad impact. August 1, 2026.

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Andrew L. Hufton @alhufton.bsky.social · 18/09/2025

Reposting my 2024 #PeerReviewWeek editorial as it is particularly fitting to this year's theme, "Rethinking Peer Review in the AI Era": www.cell.com/patterns/ful...

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 12/09/2025

Our September issue is now live! www.cell.com/patterns/iss... This month's awesome cover image highlights a paper from a team of researchers at @uniulm.bsky.social who present a #quantum algorithm for gene regulatory network discovery www.cell.com/patterns/ful...

The journal's cover image illustrates a futuristic city where all structures are interconnected to support the collective prosperity of the organism. At its center is a highly advanced building that receives comprehensive information from across the city and uses it to evaluate the city’s current status as a global entity, which arises from the interconnected components of such a complex network. Similarly, genes within cells function like dynamic circuits by continuously toggling on and off to generate stable patterns known as “attractors,” which influence and control the behaviour of living organisms. In this issue of Patterns, Rossini et al. present an innovative quantum computing approach that rapidly detects these stable genetic patterns—much like navigating a maze—by harnessing quantum mechanical properties. The integration of quantum computing with biology opens new pathways for better understanding the complexity of life. Image credit: Marietta Hamberger.

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Reposted by Andrew L. Hufton

Anke Sparmann @ankesparmann.bsky.social · 12/09/2025

1/2 Bacteriophages are among Earth’s most diverse biological entities, but many resist genetic manipulation. This leaves much of their diversity unexplored and constrains efforts to discover new proteins and exploit their potential for biotechnology and therapeutic applications.

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 20/08/2025

Are you an educator in a higher ed setting using generative AI in innovative ways in the classroom? We are currently seeking contributors for a short piece being developed at the journal on the topic. Please DM us if you would be interested in sharing your story.

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Andrew L. Hufton @alhufton.bsky.social · 20/08/2025

In an editorial this month at @cp-patterns.bsky.social, I make a simple plea to our authors: cite what you read, and, please, please, read what you cite. www.cell.com/patterns/ful... Also, some stuff about #preprints

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Reposted by Andrew L. Hufton

Russ Poldrack @russpoldrack.org · 20/08/2025

Our department is seeking applicants for an Assistant Professor position with a focus on affective science. Please apply and/or pass this along to anyone who might be interested! facultypositions.stanford.edu/en-us/job/49...

facultypositions.stanford.edu

Stanford | Faculty Positions: Details - Assistant Professor, Psychology

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Andrew L. Hufton @alhufton.bsky.social · 24/06/2025

I‘m looking forward to visiting the Center for Advanced Systems Understanding (#CASUS) tomorrow in Görlitz! I will be giving a talk to CASUS and other @hzdr.bsky.social researchers at 14:00. Details: www.casus.science?page_id=15608

casus.science

Event — Effectively publishing data-rich science – CASUS – Center for Advanced Systems Understanding

Andrew Hufton, Ph.D., Editor-in-Chief Patterns, Cell Press, Munich (Germany)

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Reposted by Andrew L. Hufton

Patterns @cp-patterns.bsky.social · 13/06/2025

Also in this month's issue: Did you know women have been shaping data science since BEFORE it had a name? Check out this opinion about the often overlooked history of women in data science and why it matters www.cell.com/patterns/ful... #WomenInSTEM

cell.com

Highlighting the achievements and impact of women in data science

Women have been instrumental in shaping data science from its earliest days. This opinion highlights both the achievements and the ongoing challenges faced by women in the field, emphasizing that a wi...

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