Enabling next‐generation therapies: A foreword to a special issue on nanotechnology in medicine
Notice bibliographique
Résumé
The Spring of 2022 coincided with a long-awaited return of the conference series on Nanotechnology in Medicine (Calabria, Italy), chaired on this occasion by Dr Milica Radisic (University of Toronto) and Dr Victor Shahin (University of Münster) under the auspices of Engineering Conference International (ECI). To celebrate the main highlights of such event, the special issue of Bioengineering & Translational Medicine (Volume X, Issue X) brings together a curated collection of stimulating contributions from plenary, keynote, and invited speakers of the conference under the unifying theme of “enabling next-generation therapies.” The third edition of this conference provided an intimate yet lively scientific forum whose purpose expanded upon the scope of the past two previous editions of the conference series (see, e.g., Bioengineering & Translational Medicine Vol. 4, Issues 2 & 3, 2019) in discussing recent research developments in the aforementioned field. Among the leading topics emphasized in this 2022 edition of the conference were (i) a deepening of the mechanistic understanding of biodistribution of systematically targeted nanoparticles (NPs), (ii) exploring the effects of mechanical environments of tissues and cells, (iii) the use of tissue and organ-on-chip (OoC) models in the studies of NP distribution and toxicity, (iv) generating an improved mechanistic understanding of the factors necessary to control in vivo NP targeting; and (v) exploiting such understanding to generate highly effective nanotechnologies for the early detection, imaging, and treatment of human diseases. In this short editorial, we briefly take the opportunity to highlight a few contributions of interest that mark the special issue. Resonating with the timeliness of the COVID-19 pandemic, Lu et al. (https://doi.org/10.1002/btm2.10581) discuss recent advances in heart-on-a-chip platforms for elucidating SARS-CoV-2 pathogenesis, including the potential mechanisms that drive heart failure whereby viral infection induces myocardial dysfunction, with an outlook toward more advanced models for disease modeling and pharmacological discovery. Continuing in the area of OoC, Spitz et al. (https://doi.org/10.1002/btm2.10604) provide an overview of recent OoC advances in the field of neurodegenerative diseases (NDDs) directed toward non-invasive sensing strategies encompassing electrical, electrochemical and optical sensors. Motivated by the lack of insufficient predictive validity of animal-based disease models for clinical trials, the authors discuss promising on- and integrable off-chip sensing OoC strategies applicable to NDD research to advance the translational value of microphysiological systems in preclinical settings. In parallel, Ramezani et al. (https://doi.org/10.1002/btm2.10652) discuss the potential of dye supramolecular assemblies for broad applications such as photoacoustic and fluorescence imaging, as well as photothermal and photodynamic therapies. There, the authors expand on emerging applications of dyes as drug-stabilizing agents used together with aggregator molecules to form stable NPs in view of further translational in vivo endpoints for clinical use. In the area of joint diseases (e.g., osteoarthritis), intra-articular delivery of drugs to cartilage remains an unresolved challenge due to their rapid clearance within joints. Here, Gonzales et al. (https://doi.org/10.1002/btm2.10612) discuss the development of new cationic nanocarriers with variable charge that form reversible electrostatic interactions with the anionic extra-cellular matrix of cartilage. The authors present results both in vitro and in mouse cartilage explants supporting a proof-of-concept study with the transport of cationic, branched poly-l-lysine nanocarriers through negatively charged cartilaginous tissues that can promote deeper penetration and prolongment of drug retention. As a final example, in the areas of systemic delivery in the cardiovascular system, the review of Asaad et al. (https://doi.org/10.1002/btm2.10669) discusses interactions of several key NP types (e.g., polymeric, ceramic, silica, dendrimers, and metallic) on circulating platelets in blood, with a focus on the physicochemical parameters that may modulate the therapeutic potential of such NPs when designing safe and effective therapies that can be translated into clinical practice. The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1002/btm2.10678.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,012 | 0,009 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,009 | 0,018 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,016 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».