ArticleSmall (Weinheim an der Bergstrasse, Germany)2026
Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance.
Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Design and Physicochemical Characterization of a Multifunctional Maisine-Based Microemulsion Incorporating Doxorubicin@Mn-Doped Magnetite Nanoparticles for MRI, Hyperthermia, and Drug Delivery.Nanomaterials (Basel, Switzerland) · 2026Article
- Magnetothermally Responsive Mesoporous Silica Nanocarriers: Materials Design, Thermoresponsive Gates and Controlled Drug Release.Nanomaterials (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Accurate prediction of the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) is critical for optimizing their performance in magnetic hyperthermia applications. This study presents the development of a predictive model for SAR using advanced machine learning techniques and a systematically curated dataset comprising 1850 entries from 84 published studies, capturing 30 predictive features related to SPION properties and experimental parameters. Twelve machine learning algorithms were evaluated and optimized using Bayesian hyperparameter tuning. The CatBoost algorithm emerged as the top-performing model (R
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.