#SocialMedia in #ScholarlyPublishing is evolving fast.
At #ALPSP2025, our Senior Consultant @kellyhenwood.bsky.social chaired a lively panel on what’s working (and what’s not).
Read her new blog for insights on strategy, experimentation, and people power: bit.ly/4h76zNC
Secure your spot for this free, hybrid, two-day event.
Join global leaders and researchers to explore cutting-edge #MachineLearning applications across disciplines to shape the future of #science & #technology.
Discover the #SpeakerList, registration details and more here: ow.ly/yw9M50X3sAS
Our Senior Consultant, Mithu Lucraft, will be at #FBM25 (14–15 Oct) meeting partners, sharing insights, and exploring the future of scholarly publishing.
Heading to Frankfurt? Connect with Mithu here: bit.ly/4mAbWWA
Join the editorial team of our brand new journal!
Our new open access journal will be at the cutting edge of biomedical science — and we’re looking for passionate researchers to help shape its future.
publishingsupport.iopscience.iop.org/wp-content/u...
Read the latest work on a novel, computationally efficient training framework with bio-signal processing on edge medical devices: ow.ly/L1bX50WYFEp
By Zhaojing Huang et al. (@sydney.edu.au)
#EdgeAI #TinyML #BioSignalProcessing #MedicalAI #OpenAccess #ModelOptimization
Celebrating the 5th anniversary in of Journal of Physics: Complexity with the publication of this Editorial by our Editor-in-Chief, Professor Ginestra Bianconi
@gin-bianconi.bsky.social
5 years of Journal of Physics: Complexity
doi.org/10.1088/2632...
@ioppublishing.bsky.social
Hot off the press!
Calling all #Medical, #Clinical, #Biological, and #HealthScience researchers!
Are you interested in the development and application of #MachineLearning and #ComputationalMethods in your field?
Read our first issue, for the latest scientific developments: ow.ly/wwwX50WCCXq
Free-to-read opinion article: Science is evolving, and article formats need to keep up, writes Antigoni Messaritaki of @ioppublishing.bsky.social
www.researchprofessionalnews.com/rr-news-euro...
Calling Machine Learning #Researchers!
This free-to-attend, hybrid event will provide you with a global platform to discuss #MachineLearning across #science and #industry, from #engineering to #healthcare & #EnvironmentalSciences.
Find out more and register here: ow.ly/N97q50WtMUE
#ML4S2025
Amazing news for IOPP and @ipem.ac.uk !!!
#BiomedicalEngineering #MedicalPhysics
🔍 New insights into reservoir computing!
Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think.
Read here👉 bit.ly/44MgPF4
Researchers from @colorado.edu
#MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks
Fantastic collaboration with @teo121270.bsky.social L.Giambagli R.Muolo "Global Topological Dirac Synchronization": Unveiling new dynamical states of higher-order networks with the Topological Dirac operator.
iopscience.iop.org/article/10.1... @ioppublishing.bsky.social
Another recently published article in JPhys Complexity, 'Keep the bees off the trees: the vulnerability of species in the periphery of mutualistic networks to shock perturbations' by Lukas Halekotte, Anna Vanselow and Ulrike Feudel
iopscience.iop.org/article/10.1...
🚨Great new Dataset article in #MLST🚨
@kasieczka.bsky.social @mikraemer.bsky.social @ozamram.bsky.social & co-authors ‘prep 180M jets from pp collisions for easy AI training & use them to pre-train a foundation model’
#FoundationModels #ParticlePhysics #OpenData #LHC
Paper ➡️ bit.ly/4eE0QO1
Editor-in-Chief Opportunity!
IOP Publishing & @ipem.ac.uk are seeking a founding Editor-in-Chief for Medical Sensors & Imaging — a new #OpenAccess journal at the intersection of #physics & #biomedicalscience.
Apply by July 18, 2025 👉 ow.ly/IzTV50WltHs
#EditorinChief
🚀 New frontier in Topological Data Analysis: Quantum algorithms for estimating distances between persistence diagrams!
This work proposes variational quantum methods for Wasserstein distance—paving the way for a fully quantum TDA pipeline.
➡️ bit.ly/4nw3NnT
#QuantumComputing #TDA #MachineLearning
Figure 1 from the article text. The caption reads: Schematic illustration of the three-phase validation and evaluation pipeline for crystal structure submissions in LAM Crystal Philately: pre-submission validation, random sampling quality check, and final evaluation with LAM-based energy calculations. The process includes: (1) an optional pre-submission phase, where original structures can be optimized using LAM to improve submission validity; (2) a sampling phase for quality checking the submissions; and (3) a final evaluation phase, where deduplication, scoring, and database ingestion take place.
🚨Challenges article alert!🚨
In this paper, Zhang, Wang and coworkers describe the #OpenLAMChallenges, competitions designed to benchmark #machinelearning methods and accelerate ML-driven discovery. Read the #MachineLearningScienceandTechnology article here: bit.ly/3TTlZtP 1/2
📢 Materials scientists, we want your answers!
Contribute to our new Open Questions series by answering Aron Walsh’s question: Can AI design truly novel materials?
✍️ Add your voice with a perspective, review, or research article: ow.ly/ouzL50Whkky
#MaterialsScience #AI #OpenScience
🎉 Huge congratulations to Ekaterina Shanina @ucdavis.bsky.social for winning the 2024 Physics in Medicine & Biology Early Career Researcher Award!
🏆 Her work on the PICASSO brain phantom is pushing the boundaries of PET neuroimaging.
🔗 Read more:
⚛️Great #MachineLearningScienceandTechnology paper on Multi-target property prediction and #optimization using #LatentSpaces of #generativemodel
From @samikaski.bsky.social & @aalto.fi & @orionpharma.bsky.social researchers
Paper ➡️ bit.ly/4ndky7c
#DrugDiscovery #ML #molecular #graphgeneration
New IPEM open access article in Physiological Measurement. This paper concludes that catheter-to-tissue angles can influence the lesion outcomes significantly and the multichannel bioimpedance is able to detect the angles that matter.
iopscience.iop.org/article/10.1...
🚀 The Koopman operator is revolutionizing how we understand nonlinear systems—by turning them into linear ones! Infinite-dimensional, data-driven, and incredibly powerful.
Read more here: bit.ly/3SSqdkY
#KoopmanOperator #DynamicalSystems #ComplexSystems
Big leap in ion therapy modelling!
The AMF now runs in TOPAS, slashing simulation time by 98% while staying within 10% of gold-standard results.
💥 Fast. Accurate. Clinically relevant.
Read here: bit.ly/3ZMfegL
#ParticleTherapy #MedicalPhysics #RadiationResearch
Join our publisher, Dillon Eastoe, at @netsciconf.bsky.social 2025 for our workshop on 'How to Get Published'. You can learn some practical tips on getting your work accepted for publication.
All speakers: netsci2025.github.io/speakers/
The miniaturized pixel detector Timepix3 can verify linear energy transfer (LET) in clinical intensity-modulated proton therapy plans. 🧪⚛️ physicsworld.com/a/miniaturiz...
A solution for experimental validation of simulations and patient-specific quality assurance (PSQA) in terms of proton #LET is needed.
Read our article to see if we have found it:
Today we explore the computational power of double-pushout (DPO) graph rewriting on chemical graphs and show it can simulate Turing machines and 2-tag systems using polymeric graph tapes.
Read the full paper here: bit.ly/43ik7iD
#MachineLearning #ComplexSystems
🌟 Improving PPG beat detection! Our new MSPTDfast (v.2) algorithm is more efficient and maintains high accuracy for heart rate monitoring.
Read about it here: iopscience.iop.org/article/10.1...
#PPG #HeartRate #AI
IPEM | IOP Publishing Physics in Medicine & Biology iopscience.org/pmb
Would you like to know if current cluster pinhole collimators are suitable for sub-mm resolution prompt, positron emission tomography (PET)?
Read our article 'Ultra-high energy spectral prompt PET' to find out: iopscience.iop.org/article/10.1...
#PET #Medicine 🧪
The NERVE-ML checklist provides guidelines to ensure #MachineLearning approaches in #NeuralEngineering are reproducible and lead to valid scientific conclusions.
Let's pave the way for reliable ML-enhanced research!
➡️Read the full review: bit.ly/432tUcw