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Record W4313323236 · doi:10.1002/smmd.20220031

Multidisciplinary endeavors make future medicine smart

2022· editorial· en· W4313323236 on OpenAlexaboutno aff
Luoran Shang, Yihai Cao, David A. Weitz

Bibliographic record

VenueSmart Medicine · 2022
Typeeditorial
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
Fundersnot available
KeywordsMultidisciplinary approachChinaEngineering ethicsHealth careVariety (cybernetics)MedicinePolitical scienceSociologyEngineeringSocial scienceComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.240
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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