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Patterns @cp-patterns.bsky.social · 14/09/2026

Our September issue is live 📢 www.cell.com/patterns/iss... On the cover, we have EmmaEmb, a model-agnostic framework to analyze how proteins are distributed within an embedding space. Check the full-length article 💻 www.cell.com/patterns/ful...

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Patterns @cp-patterns.bsky.social · 18/08/2026

Our August issue is now live www.cell.com/issue/S2666-... The cover image this month highlights a paper presenting BioMaster, a multi-agent AI framework for bioinformatic workflow planning and execution, which supports both proprietary and open-source language models. www.cell.com/patterns/ful...

LLM-enabled AI agents are playing an increasingly important role in scientific research, translating researchers' goals into executable analyses for massive biological datasets. On the cover, a headset-wearing robot receives a research task and orchestrates an automated workflow, while robotic arms represent specialized agents that transform biological inputs into analytical outputs. Su et al. introduce BioMaster, a multi-agent system that integrates workflow planning, tool execution, error recovery, and output validation to automate robust bioinformatics analysis from natural-language requests. Artist/image credit: Qing Zhang.

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Patterns @cp-patterns.bsky.social · 11/08/2026

⚠ New Call for Papers ⚠ Patterns invites submission of Opinion papers from researchers and other experts working in low- and middle-income countries on topics relevant to data science, artificial intelligence and the broader data ecosystem Learn more: www.cell.com/patterns/spe...

Text on image reads: Patterns, A Cell Press journal. Call for papers: Global views of data science. Opinion pieces on data science, AI, and the data ecosystem. November 2, 2026

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Patterns @cp-patterns.bsky.social · 10/07/2026

Our July issue is now live! www.cell.com/patterns/iss... The cover image this month highlights a work from Bellmann et al. that presents a method for handling missing data in medical representation learning www.cell.com/patterns/ful...

The cover image depicts a time series, stylized as a grid of colored rectangles, disrupted by a dark void, representing missing data. A flashlight explores it and a beam of light reveals hidden patterns within the darkness. By shifting the perspective from “filling the gaps” to “learning from them,” the method presented in the associated research paper by Bellmann et al. improves performance under extreme sparsity. Image credit: Hümeyra Husseini-Wüsthoff, University Medical Center Hamburg-Eppendorf. Modified by Julie Ho Sung, Cell Press.

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Patterns @cp-patterns.bsky.social · 12/06/2026

Our June issue is live! www.cell.com/patterns/iss... The cover image highlights the work by Sun et al that studies the "spacing effect" across biological and artificial systems, identifying principles that underlie generalizable learning in both contexts. www.cell.com/patterns/ful...

On the cover: An image highlighting the work by Sun et al. in this month's issue. A brain-shaped silhouette viewed from above reveals a stylized laboratory setting within. The left hemisphere embodies a biological lab for Drosophila experiments; the right hemisphere embodies a silicon computing environment for artificial neural network modeling. A bidirectional bridge emphasizes the reciprocal flow: biological learning inspires AI paradigms, and computational results guide biological validation. The backdrop uses spaced stripes and color gradients to evoke the spacing effect and encoding variability, underscoring the core result that deliberate temporal variation enhances generalization. Artist: August Fireflies Technology Co., Ltd

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Patterns @cp-patterns.bsky.social · 08/05/2026

Our May issue is now live www.cell.com/patterns/iss... This month's cover highlights the work by Wang et al, which introduces a method for tomographic and spectral alignment that could advance research into batteries and other materials science challenges www.cell.com/patterns/ful...

The cover illustration explores the transformation of chaotic experimental data into precise scientific insights. A tangled web of misaligned, raw measurements is transformed by the touch of a digital hand, representing the implicit neural network. It emerges as a perfectly ordered spiral, illustrating the restoration of 3D structural and chemical information. Image credit: Jizhou Li and Chao Wang.

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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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Patterns @cp-patterns.bsky.social · 13/03/2026

Our March issue is now live! www.cell.com/patterns/iss... This month's cover is a wonderful image from Andrée Fournier highlighting a paper by Korosec et al where researchers generate “virtual patients” to explore the complexity of human immune responses Full study: www.cell.com/patterns/ful...

Modeling of longitudinal immune profiles reveals distinct immunogenic signatures following five COVID-19 vaccinations among people living with HIV. In the study by Korosec et al., researchers generate synthetic data trajectories (“virtual patients”) that preserve the statistical properties of real immune measurements by using data-driven models. The illustration, by Andrée Fournier (National Research Council Canada), explores the intersection of human biology and computational modeling. In the foreground, a softly rendered human hand reaches forward, symbolizing real patients and empirical data. Emerging from the background, a semi-transparent wireframe hand, constructed from a digital mesh, represents the virtual patients and the models’ aim to capture the essential features of true biological responses.

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Patterns @cp-patterns.bsky.social · 13/02/2026

Our February issue is now live! www.cell.com/patterns/iss... On the cover this month, we are highlighting a work from Jia et al that describes a method to fix defective annotations in image libraries and thereby advance computer vision research. www.cell.com/patterns/ful...

On the cover: Inspired by Jia et al. in this issue, the cover visualises how incomplete or incorrect segmentation labels can be filled in with information from the image itself. The grid marks are where labels are absent, while the completed shapes illustrate how visual context helps recover those regions. The robotic hand represents an automated process that reduces the need for manual relabelling. Overall, the image shows how combining images with partial labels can produce more reliable training data for semantic segmentation. Image credit: Phillip Krzeminski.

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Patterns @cp-patterns.bsky.social · 29/01/2026

📈In case you missed it, our most read paper for the last month has been: The carbon and water footprints of data centers and what this could mean for artificial intelligence doi.org/10.1016/j.pa... by Alex de Vries of @digiconomist.bsky.social and @vuamsterdam.bsky.social

An image of the first page of the paper mentioned in the post.

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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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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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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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Patterns @cp-patterns.bsky.social · 14/11/2025

Our November issue is now live! www.cell.com/patterns/iss... On the cover this month is a colorful image highlighting the work by Bakagianni et al. that surveys natural language processing capabilities and tools for the Greek language www.cell.com/patterns/ful...

A network of nodes and edges encircles the globe, reflecting the worldwide reach of natural language processing as it spreads across languages and regions. From this global mesh, Greek letters emerge. When viewed horizontally, they are mirrored onto a continuously evolving background, suggesting the transformation of language technologies over time. The image highlights the work by Bakagianni et al. in this month’s issue, which offers a perspective on how machine learning for language has expanded dramatically across the world, affecting many languages, and captured here through the lens of Greek. Cover design by Smart Graphics, Ntina Gkanti. Image credit: Artistdesign.13 (shutterstock.com).

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

Our October issue is now live! www.cell.com/patterns/iss... Featured on the cover this month is a paper presenting LigUnity, a foundation model for predicting small molecule binding affinity for drug discovery and optimization applications www.cell.com/patterns/ful...

In the image, proteins are represented as sailboats drifting in the dark. At the center, stands a lighthouse symbolizing the AI method LigUnity. Its beam illuminates several sailboats, guiding them toward glowing buoys, which symbolize ligands with high activity. The image illustrates the work by Feng et al. in this month's issue of Patterns. Image credit: Bin Feng, International Digital Economy Academy.

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Patterns @cp-patterns.bsky.social · 18/09/2025

How can AI benefit communities, particularly in low-resource settings? In our latest People of Data interview, Edith Luhanga from @cmu.edu Africa shares her journey in human-centric AI, discussing topics such as digital health, financial inclusion, and digital equity. www.cell.com/patterns/ful...

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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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Patterns @cp-patterns.bsky.social · 11/08/2025

Our August issue is now live! www.cell.com/patterns/iss... This month's issue includes papers looking at AI governance from the perspective of complexity science, as well as AI applications in disease diagnosis, natural product synthesis, single-cell analysis, and more...

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Patterns @cp-patterns.bsky.social · 14/07/2025

Our July issue is now live! www.cell.com/patterns/iss... Several papers in this issue highlight #opensource software and the crucial role it plays in #datascience. Check out our related editorial: www.cell.com/patterns/ful...

Our cover image this month is an artistic rendering of a community garden, seen from above. Each plot in the garden may serve a specific family or group, and the gardeners themselves will have widely varying levels of experience, but across the garden, experience and tools are shared, creating a fertile, cooperative ecosystem that supports a broad community. Image credit: Philip Krzeminski

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

Our June issue is now live! www.cell.com/patterns/iss... On the cover is an artwork from Dirk Vanmassenhove that the artist feels evokes findings in a study on gender bias also published in this issue. "Gender, like color, is layered, mutable," he writes. Related study www.cell.com/patterns/ful...

$On the cover: “Sur Incise / On Intersection”: Seeing through layers “Sur Incise” draws us in with fractured surfaces—blocks of ochre, navy, yellow, and green, colliding with purpose. Its title, referencing Boulez's composition and the act of cutting, hints at fragmentation and ambiguity. At the painting's center lies a human figure—nude, abstracted, shifting between identities. Visible in color but elusive in form, it invites questions: what remains unseen when language fails us? This visual tension mirrors findings from Savoldi et al.'s study on gender bias in machine translation, where systems default to binaries and overlook intersectionality. Just as the painting resists clear categorization, translation models struggle with identities that do not conform to fixed labels—flattening complexity and erasing nuance. “Sur Incise” offers no singular reading. Gender, like color, is layered, mutable. The figure is not absent—only obscured. To perceive it, we must move beyond rigid categories and accept that some meanings are felt rather than defined.Image credit: Picture of the painting “Sur Incise / On Intersection” 2025. Acrylic paint on a linen canvas mounted on an aluminum frame. 120 cm × 120 cm × 1.5 cm. © Dirk Vanmassenhove.$

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Patterns @cp-patterns.bsky.social · 09/05/2025

📢Our May issue is now live! www.cell.com/patter/issue... Discover cutting-edge AI innovations—from explainable catalyst design and domain-specific language models to neuro-inspired algorithms and MRI imputation—shaping the future of science and technology.

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Patterns @cp-patterns.bsky.social · 11/04/2025

Our April issue is now live! www.cell.com/patterns/iss... On the cover this month, researchers from Beijing Jiaotong & Rensselaer Polytech Universities present a graph learning method for predicting extreme failure events in transport networks. www.cell.com/patterns/ful...

On the cover: Extreme disasters, such as earthquakes, floods, hurricanes, and landslides, although rare, can severely damage road transportation networks, potentially leading to significant declines in system performance. Predicting the impact of these “black swan” events and estimating the probability of extreme failures has long been a challenge because of the high computational cost of traditional methods. In this issue, Guo et al. propose an importance sampling method based on graph learning that enhances sampling efficiency for extreme failure scenarios in large-scale road transportation networks. This approach provides valuable technical support for improving disaster resilience in infrastructure systems. The cover image illustrates a graph neural network used to analyze and quantify the criticality of road segments within transportation networks under various extreme disasters, thereby facilitating cost-efficient sampling of extreme failure scenarios in large-scale road transportation networks. Image credit: Tingting Zhao, Beijing Jiaotong University.

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Patterns @cp-patterns.bsky.social · 14/03/2025

Our March issue is now live, including a great cover by Z. Wang and @jsulam.bsky.social highlighting their work on breast cancer biomarker discovery www.cell.com/patterns/iss...

On the cover: The complex biology reflected in the tissue surrounding and including tumors has important implications on the evolution of cancer and on the overall prognosis of the patient. However, this microenvironment is very complex and heterogeneous, making it difficult to extract informative quantitative measures that can inform patient outcomes. BiGraph is a method that automatically finds patterns of cell interactions in the tumor microenvironment that characterize different groups of patients with distinct outcomes, leading to prognostic biomarkers. BiGraph builds a graph at the population (macro) level that associates patients by studying their similarity according to the composition of their tumor microenvironments. In turn, each microenvironment is characterized by specific patterns of cell interactions, which are modeled by a cellular (micro) level graph. The work by Wang et al. highlights the power of interpretable data-driven methods in uncovering biologically meaningful features using breast cancer as a case study, while applicable to other diseases more broadly. Image credits: Z. Wang and J. Sulam.

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Patterns @cp-patterns.bsky.social · 19/02/2025

Join Cell Press on March 5, 2025 for a free webinar Land Health: Preventing zoonoses spillover Tune in for a cross-disciplinary discussion on land-use change and infectious disease. Register to attend or receive the recording: www.bigmarker.com/cellpress-so...

Text in image reads: Cell Press | Forums on Sustainability
Land health: Preventing zoonoses spillover
Wednesday, March 5, 2025
8:00 a.m. ET | 2 p.m. CET
Register now
Image: a colorful sphere with protrusions is draw in a way that can evoke either a virus or a planet with trees

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Patterns @cp-patterns.bsky.social · 14/02/2025

Our February issue is now live! www.cell.com/patterns/iss... This issue includes new research on gene fusion detection, AI model interpretability trade-offs, renewable energy potential assessments, & more. Plus, in an editorial, we share some thoughts from the journal on the EU AI Act.

On the cover: This image shows a multicolored wave pattern, resembling longitudinal wave patterns or Weibull and other distributions, evoking the presence of data and knowledge everywhere. Image credit: Andriy Onufriyenko/Moment via Getty Images.

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Patterns @cp-patterns.bsky.social · 06/02/2025

Patterns is calling now for submissions on open-source software projects and tools that have, or will have, a significant impact on modern data science. Accepted papers will be eligible for a 50% discount on the journal’s article processing charge (APC). Learn more: www.cell.com/patterns/spe...

A cartoon man with a key opens an image of a lock on a computer screen

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Patterns @cp-patterns.bsky.social · 23/01/2025

Call for papers: Patterns is inviting submission of compelling and original research papers that advance the understanding and development of multimodal AI, or associated applications Submissions deadline: April 30, 2025 Learn more: hubs.li/Q02ZRy300

Text overlaid on colorful pattern reads:
Patterns
Development and application of multimodal AI models
Inviting submissions now

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Patterns @cp-patterns.bsky.social · 13/01/2025

Deadline approaching! Patterns is calling for exciting papers that apply innovative data science methods to challenges in urban sustainability. Submit your paper or presubmission enquiry by Jan 15th to be considered for inclusion in a possible special collection. www.cell.com/patterns/spe...

A picture of a cityscape with colored lines representing a network of data, overlaid with the text "Patterns, Urban sustainability and data science, Calling for papers now".

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Patterns @cp-patterns.bsky.social · 10/01/2025

In our first bluesky post, we are excited to share our first issue of 2025! www.cell.com/patterns/iss... This issue includes a timely Opinion piece from @envirodgi.bsky.social explaining why they are working to archive environmental data hosted on US gov't sites. www.cell.com/patterns/ful...

Journal cover image: Geometry in art involves the precise arrangement of shapes, lines, and angles to create visually appealing compositions. Here, the artist employed six rotating and overlapping circles, blending them to evoke a sense of dynamic movement while incorporating beautiful gradients that added depth and visual richness to the artwork. Image credit: Naola Leconte.

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