Multidisciplinary endeavors make future medicine smart
Notice bibliographique
Résumé
Humans suffer from thousands of diseases, and many of them lack effective methods for diagnosis and treatment. To address these unmet medical needs, basic research in multiple areas can provide important clinical contributions. The breathtaking discoveries in fundamental life sciences not only enhance our understanding of the human body but also lead to the creation of new diagnostics and pharmaceuticals. Innovations in medically relevant technologies, drawing on a wide range of disciplines, bring hope to previously intractable illnesses. All these lead to the dramatic transformation of medicine toward “Smart Medicine.” We foresee the future of medicine to be nourished with cutting-edge ideas from many different fields. We also anticipate specially designed methods that help translate these ideas and make them fit for specific healthcare purposes. The launching of Smart Medicine is rooted in the idea that there is an urgent need for a journal that embraces all medically relevant research. Smart Medicine is copublished by Wiley and the Wenzhou Institute of the University of Chinese Academy of Sciences (WIUCAS, China). It aims to foster communications among and joint efforts by multiple science and engineering communities, thus sparking new ideas in the medical arena. Smart Medicine is overseen by a world-class editorial group with members from different research backgrounds. We proudly introduce our Editors-in-Chief professors, Prof. Yihai Cao (Karolinska Institute, Sweden) and Prof. David A. Weitz (Harvard University, USA), our Executive Editors, Prof. Wenguo Cui (Shanghai Jiao Tong University, China), Prof. Hongbo Zhang (Åbo Akademi University, Finland), and Prof. Yuanjin Zhao (Southeast University, China), our Associate Editors, Prof. Fangfu Ye (WIUCAS, China), Prof. Cecilia Sahlgren (Eindhoven University of Technology, Netherlands), Prof. Kenneth L. Pitter (Ohio State University, USA), and Prof. Sergey Filippov (University of Reading, UK), and 28 Editorial Board members coming from 16 countries or regions. We would also like to thank the full support from the professional publishing team of Wiley, Dr. José Oliveira, Dr. Guangchen Xu, Dr. Jing Zhu, Dr. Xiaoyu Zhang, and Ms. Kelsey Ma. In this inaugural issue of Smart Medicine, we have collected 4 research articles, 1 minireview, and 7 review papers focusing on different aspects of basic, clinical, and translational medicine. The original studies include that led by Prof. Haozhen Ren (Nanjing Drum Tower Hospital, China) on liver lobule-mimicking scaffolds for tissue engineering, Prof. Fangfu Ye on structural color films for biosensing, Prof. Qingming Ma (Qingdao University, China) on bacterial infection microenvironment-responsive microspheres for anti-infective therapy, and Prof. Hongbo Zhang on reregulated mitochondrial dysfunction reversing cisplatin resistance microenvironment in colorectal cancer. The single minireview contributed by Prof. Feili Lai's group (KU Leuven, Belgium) focuses on personalized healthcare. Additionally, we have invited Prof. Yuanjin Zhao, Prof. Veijo Hukkanen (University of Turku, Finland), Prof. Wenguo Cui, Prof. Renjie Chai (Southeast University, China), Dr. Lei Tian (McMaster University, Canada), Prof. David A. Posner (University of Cambridge, UK), and Prof. Luoran Shang (Fudan University, China) to contribute authoritative reviews on several thriving medically relevant technologies and engineering topics, including microfluidics, drug development, reprogramming stem cells, functional hydrogels, living materials, combination therapies, and biomimetics. We hope this inaugural issue will help readers appreciate the multidisciplinary principles, broad scope, and high-quality standards of Smart Medicine. We also hope that our readers will consider Smart Medicine as among the most preferred journals in which to share exciting research results and forward-looking viewpoints. The future of medicine has come; let us explore a huge world of new possibilities with Smart Medicine. The authors declare that they have no conflict of interest. Luoran Shang, Yihai Cao, and David A. Weitz are members of the Smart Medicine editorial board. Yihai Cao is a professor of vascular biology at Karolinska Institute, Stockholm, Sweden. He is a member of Chinese Academy of Engineering, Academy of Europe, European Academy of Sciences and Arts, National Academy of Inventors (US), and American Institute of Medicine and Biological Engineering. Yihai Cao received his medical training from the Shandong Medical School and his Ph.D. from the Karolinska Institute. He received his postdoctoral training in Dr. Judah Folkman’s laboratory at the Harvard Medical School. Cao’s laboratory has focused their interests on studying angiogenesis in tumor growth, metastasis, and non-malignant diseases. David A. Weitz received his PhD in physics from Harvard University and then joined Exxon Research and Engineering Company, where he worked for nearly 18 years. He then became a professor of physics at the University of Pennsylvania and moved to Harvard at the end of the last millennium as professor of physics and applied physics. He leads a group studying soft matter science with a focus on materials science, biophysics and microfluidics. Several startup companies have spun off his lab to commercialize research concepts in the US, as well as in Europe and China. Weitz is a member of the National Academy of Sciences, the National Academy of Engineering, the American Academy of Arts and Sciences, and is a foreign member of the Chinese Academy of Engineering.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,000 |
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 tête enseignante, 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 ».