Review
Chemistry, Multidisciplinary
Julian Kimmig, Stefan Zechel, Ulrich S. Schubert
Summary: The ongoing digitalization is rapidly changing and revolutionizing various aspects of life, including the field of materials science. While there are promising examples showing the potential of digitalization to change research methods for new materials, there are still many issues to be addressed in order to achieve digital-supported material research.
ADVANCED MATERIALS
(2021)
Review
Oncology
Naiem T. Issa, Vasileios Stathias, Stephan Schurer, Sivanesan Dakshanamurthy
Summary: In recent years, there has been exponential growth in knowledge of cancer initiation, progression, and metastasis, although challenges remain in cancer therapeutics. With the high cost of developing new drugs, repurposing existing medications has become an attractive option. Advances in computational modeling and machine learning have facilitated the discovery of new therapeutic targets and drug associations.
SEMINARS IN CANCER BIOLOGY
(2021)
Review
Biology
Sanjeevi Pandiyan, Li Wang
Summary: The revolutionization of artificial intelligence technologies in clinical research has led to significant improvement in the diagnosis of cancer. Utilization of these technologies is crucial for the discovery of novel anticancer drugs and improvement of existing cancer therapeutics. However, the lack of effective therapeutics poses a challenge in building models for complicated cancers and their types.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Biochemistry & Molecular Biology
Norman E. Sharpless, Anthony R. Kerlavage
Summary: Artificial intelligence, machine learning, and deep learning have diverse applications in cancer research and clinical care, and the National Cancer Institute (NCI) is actively involved in supporting and advancing these technologies. In addition to developing and evaluating AI tools, NCI focuses on fostering a culture of data sharing, training the next generation of scientists, promoting interdisciplinary collaborations, and ensuring ethical principles in AI research and technologies.
BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER
(2021)
Article
Oncology
Jean-Emmanuel Bibault, Steven Hancock, Mark K. Buyyounouski, Hilary Bagshaw, John T. Leppert, Joseph C. Liao, Lei Xing
Summary: This article introduces a gradient-boosted model that accurately predicts 10-year prostate cancer mortality based on prospective multicenter data. By utilizing XGBoost and Shapley values, the model provides interpretability for informed decision-making in prostate cancer treatment. The model showcases high accuracy and can guide strategies for patients at risk of prostate cancer mortality.
Review
Biochemical Research Methods
Shubham Srivastava, Deepika Paliwal
Summary: Artificial intelligence has great potential in cancer diagnosis and drug development by identifying mutations and abnormal cell division at an early stage. Bringing AI to clinics in a safe and ethical manner can improve treatment outcomes and increase cancer patient survival rates.
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
(2022)
Review
Gastroenterology & Hepatology
Laura E. McCoubrey, Moe Elbadawi, Mine Orlu, Simon Gaisford, Abdul W. Basit
Summary: Seminal microbiome research in the past twenty years has shown the intrinsic relationship between microbiota and human health, with imbalanced microbiomes linked to diseases. Machine learning offers powerful techniques for analyzing and predicting microbiome big data, facilitating the development of new therapeutics.
Review
Chemistry, Medicinal
Liuying Wang, Yongzhen Song, Hesong Wang, Xuan Zhang, Meng Wang, Jia He, Shuang Li, Liuchao Zhang, Kang Li, Lei Cao
Summary: The design of anti-cancer drugs is a complex and challenging task that is costly and time-consuming. The pharmaceutical industry is faced with the urgent question of reducing research costs and accelerating the development process of such drugs. Computer-aided drug design methods have been instrumental in cancer treatment development for over three decades, and recently, artificial intelligence has emerged as a powerful technology for faster, cheaper, and more effective anti-cancer drug design. This study provides a narrative review of the various applications of artificial intelligence-based methods in anti-cancer drug design, discussing their principles, advantages, and disadvantages, as well as collating a wide range of databases that can be utilized and adapted by other researchers.
Article
Pharmacology & Pharmacy
Swayamprakash Patel, Mehul Patel, Mangesh Kulkarni, Mruduka S. Patel
Summary: The compatibility of drugs with excipients is crucial for the stability of pharmaceutical formulations. Traditional analytical tools and machine learning can be used to identify drug-excipient interactions and develop predictive tools for incompatibility. In this study, a machine learning model (DE-Interact) was trained using PubChem Fingerprint as compounds' descriptors and achieved high accuracy in predicting incompatibilities.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
Article
Chemistry, Medicinal
Sarfaraz K. Niazi
Summary: Artificial intelligence (AI) and machine learning (ML) have become crucial tools in drug discovery and manufacturing, with the FDA and other U.S. federal agencies issuing guidelines to ensure their safe and effective use. These technologies have the potential to expedite drug discovery, improve drug safety, and enable innovative applications in emerging therapies. Recent FDA publications highlight the need for careful deployment of AI/ML tools and the expanding market opportunities in training personnel to handle these technologies.
DRUG DESIGN DEVELOPMENT AND THERAPY
(2023)
Article
Computer Science, Artificial Intelligence
Daniel Rivero, Enrique Fernandez-Blanco, Alejandro Pazos
Summary: Based on a solid mathematical background, this paper proposes a deterministic method for Symbolic Regression that extracts mathematical expressions from a dataset. The proposed method outperforms other techniques and returns easily usable mathematical expressions.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Review
Oncology
Fan Yang, Jerry D. Darsey, Anindya Ghosh, Hong-Yu Li, Mary Q. Yang, Shanzhi Wang
Summary: This review discusses the recent advancements and challenges of AI in developing cancer drugs, including target validation, drug repositioning, de novo design, and compounds' synthetic strategies. AI can be applied to all stages during drug development, and there are excellent reviews detailing the applications of AI in specific stages.
RECENT PATENTS ON ANTI-CANCER DRUG DISCOVERY
(2022)
Article
Biochemistry & Molecular Biology
Qi Lv, Feilong Zhou, Xinhua Liu, Liping Zhi
Summary: This review provides an overview of the utilization of artificial intelligence in drug design, focusing on protein structure prediction, molecular virtual screening, molecular design, and ADMET prediction. The role and limitations of AI in drug development are discussed, along with its impact on decision-making processes.
BIOORGANIC CHEMISTRY
(2023)
Article
Oncology
Sui-Han Wang, Guoqiao Chen, Xin Zhong, Tianyu Lin, Yan Shen, Xiaoxiao Fan, Liping Cao
Summary: This study aims to explore the hotspots and trends of artificial intelligence (AI) in cancer research. By retrieving and analyzing relevant literature, the study summarized the publication trends, influential scholars, collaborations, and research focus in AI-based cancer research. The findings provide a foundation for future research.
FRONTIERS IN ONCOLOGY
(2023)
Review
Chemistry, Multidisciplinary
Joo Hun Yoo, Harim Jeong, Tai-Myoung Chung
Summary: Digital therapeutics, utilizing cutting-edge computing technologies, are evidence-based treatments delivered through software programs, revolutionizing healthcare. This research provides a comprehensive overview of the latest technologies involved in the development of digital therapeutics and highlights specific technologies necessary for future growth. Furthermore, a system design for digital therapeutics targeting depression is presented, along with a detailed explanation of the technical process.
APPLIED SCIENCES-BASEL
(2023)
Article
Oncology
Janice S. H. Tan, Jonathan Y. H. Teh, Laura L. Y. Tan, Sheena X. F. Tan, You Quan Li, Terence W. K. Tan, Michael L. C. Wang, Ravindran Kanesvaran, Enya H. W. Ong, Kae Jack Tay, Lui Shiong Lee, Jeffrey K. L. Tuan, Daniel Y. H. Tan, Melvin L. K. Chua
Summary: The study reported the outcomes of ultra-hypofractionated radiotherapy (UHF-RT) in Asian men with localized prostate cancer, showing that it was well tolerated and can be recommended as a fractionation schema for localized PCa. At a median follow-up of 44.9 months, only one biochemical relapse was recorded, indicating the efficacy of this treatment modality.
ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY
(2022)
Article
Oncology
Line M. H. Schack, Elnaz Naderi, Laura Fachal, Leila Dorling, Craig Luccarini, Alison M. Dunning, Enya H. W. Ong, Melvin L. K. Chua, Johannes A. Langendijk, Behrooz Z. Alizadeh, Jens Overgaard, Jesper Grau Eriksen, Christian Nicolaj Andreassen, Jan Alsner
Summary: This study conducted a two-stage genome-wide association study on head and neck cancer patients, identifying and replicating a genetic locus associated with mucositis.
BRITISH JOURNAL OF CANCER
(2022)
Article
Oncology
Yvonne H. F. Teng, Hong Sheng Quah, Lisda Suteja, Joao M. L. Dias, Annalisa Mupo, Rachael J. M. Bashford-Rogers, George S. Vassiliou, Melvin L. K. Chua, Daniel S. W. Tan, Darren W. T. Lim, N. Gopalakrishna Iyer
Summary: Recent studies have found shared T cell receptor (TCR) clonotypes in different types of head and neck cancers, with distinct characteristics including shorter CDR3 lengths, restricted V and J gene usages, and convergent V(D)J recombination. These shared TCRs may be enriched for specificity to common antigens found in the tumor microenvironment.
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2022)
Correction
Oncology
Yvonne H. F. Teng, Hong Sheng Quah, Lisda Suteja, Joao M. L. Dias, Annalisa Mupo, Rachael J. M. Bashford-Rogers, George S. Vassiliou, Melvin L. K. Chua, Daniel S. W. Tan, Darren W. T. Lim, N. Gopalakrishna Iyer
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2022)
Letter
Oncology
Wai-Tong Ng, Horace Choi, Melvin L. K. Chua, Anne W. M. Lee
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Review
Health Care Sciences & Services
Qiao Ying Leong, Shreya Sridhar, Agata Blasiak, Xavier Tadeo, GeckHong Yeo, Alexandria Remus, Dean Ho
Summary: This review examines the current state of mHealth platforms for anxiety and depression management. The study found a wide variety of platforms available for research or commercial use, with differences in target conditions, target groups, purposes, and intervention types. It also highlighted a lack of clinical and real-world evidence for most commercially available platforms. Future efforts should focus on evaluating the quality, safety, and effectiveness of existing platforms and providing guidelines and regulations for developers.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Editorial Material
Oncology
Melvin L. K. Chua
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Review
Oncology
Brendan Seng Hup Chia, Shaun Zhirui Ho, Hong Qi Tan, Melvin Lee Kiang Chua, Jeffrey Kit Loong Tuan
Summary: This review provides an overview of clinical data on the use of loco-regional and superficial hyperthermia in cancer management. The results show that moderate hyperthermia has benefits in improving local tumor control, survival outcomes and quality of life scores across different cancer subsites, with minimal increase in toxicities. This paper serves as a reference for considering the use of hyperthermia for specific indications.
Review
Psychology, Clinical
GeckHong Yeo, Cameron Tan, Dean Ho, Roy F. Baumeister
Summary: Adolescents' sense of self is crucial for their mental health, but there is still a lack of evidence on the role of selfhood in adolescent mental health. A meta-analytic review was conducted on 298 studies involving 274,370 adolescents from 39 countries to examine the associations between different facets of selfhood and depression and anxiety, as well as the moderating factors and causal influences. The findings showed that self-esteem/self-concept and self-compassion had the strongest negative associations with depression, while self-esteem/self-concept, self-compassion, self-awareness, self-efficacy, and self-regulation were moderately associated with anxiety. Adolescent age and informant type were important moderators. The study also indicated bidirectional causal relationships, with low self-esteem/self-concept, self-awareness, and self-efficacy driving higher depression and vice versa. However, the different self traits did not have specific causal direction with anxiety. These findings highlight the crucial self traits related to adolescent mental health.
PSYCHOLOGICAL MEDICINE
(2023)
Review
Medicine, General & Internal
Shi-Bei Tan, Joshua Tan, Marlena N. Raczkowska, Joshann Chean Wen Lee, Bina Rai, Alexandria Remus, Dean Ho
Summary: This study aims to synthesize the effectiveness and key features of digital game-based interventions for cognitive training in healthy adults across the life span and adults with cognitive impairment, in order to update current knowledge and impact the development of future interventions for different adult subpopulations.
Article
Psychiatry
GeckHong Yeo, Gladys Loo, Matt Oon, Rachel Pang, Dean Ho
Summary: This randomized controlled trial examined the effectiveness of a digital peer support intervention for emerging adult psychological well-being. The results showed that digital peer support training and intervention had clinical effectiveness in enhancing psychological well-being, and the effects of the intervention were sustained beyond the intervention period. The study also revealed the mechanism of change through which the intervention influenced psychological well-being.
JMIR MENTAL HEALTH
(2023)
Editorial Material
Chemistry, Multidisciplinary
Warren C. W. Chan, Natalie Artzi, Chunying Chen, Xiaodong Chen, Dean Ho, Tony Hu, Kazunori Kataoka, Luis M. Liz-Marzan, Rahmi Oklu, Wolfgang J. Parak
Correction
Psychology, Clinical
GeckHong Yeo, Cameron Tan, Dean Ho, Roy F. Baumeister
PSYCHOLOGICAL MEDICINE
(2023)
Article
Automation & Control Systems
Peter Wang, Kui You, Yoong Hun Ong, Joe Ning Yeoh, Jerica Pang Qi Ong, Anh Thanh Lan Truong, Agata Blasiak, Edward Kai-Hua Chow, Dean Ho
Summary: The increase in global population and climate change pose challenges to global food security and supply chains. To sustainably improve food yield, the identification of compound combinations in peat moss that can enhance plant yield has been explored. The study found that combinations of 6-BAP/EDTA-Fe and HA/SWE significantly increased the yield of Amaranthus cruentus, and adjusting the concentration ratios of these combinations may further improve plant yield.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Automation & Control Systems
Mathias Egermark, Agata Blasiak, Alexandria Remus, Yoann Sapanel, Dean Ho
Summary: Digital medicine technologies are rapidly developing worldwide, but the issue of pilotitis hinders their full potential. This perspective piece identifies three barriers to adoption and proposes approaches for overcoming them.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Review
Oncology
Xinru Zhou, Yin Jia, Chuanbin Mao, Shanrong Liu
Summary: Small extracellular vesicles (sEVs), such as exosomes, have emerged as crucial targets for liquid biopsy and promising drug delivery vehicles in tumor progression. They can serve as biomarkers for tumor diagnosis and as drug carriers for cancer treatment.
Article
Oncology
Ruochan Chen, Ju Zhu, Xiao Zhong, Jie Li, Rui Kang, Daolin Tang
Summary: The interplay between autophagy and apoptosis plays a crucial role in tumorigenesis and cancer therapy, with HMGB1 serving as a key regulator in these processes.
Article
Oncology
Zongfu Pan, Xixuan Lu, Tong Xu, Jinming Chen, Lisha Bao, Ying Li, Yingying Gong, Yulu Che, Xiaozhou Zou, Zhuo Tan, Ping Huang, Minghua Ge
Summary: This study uncovered the emerging role of HN1 in promoting dedifferentiation of anaplastic thyroid cancer (ATC) cells. HN1 negatively regulated the thyroid differentiation markers and had an inhibitory effect on the transcriptional activation of CTCF, thereby influencing the chromatin accessibility of thyroid differentiation genes.
Article
Oncology
Yi Qin, Shengjun Xiong, Jun Ren, Gautam Sethi
Summary: Autophagy plays an important regulatory role in glioblastoma, and its dysregulation can lead to drug resistance and radioresistance. It also affects stem cell characteristics, overall growth, and metastasis. Therefore, autophagy is a promising target for glioblastoma therapy.
Article
Oncology
Katsuya Nagaoka, Xuewei Bai, Dan Liu, Kevin Cao, Joud Mulla, Chengcheng Ji, Hongze Chen, Muhammad Azhar Nisar, Amalia Bay, William Mueller, Grace Hildebrand, Jin-Song Gao, Shaolei Lu, Hiroko Setoyama, Yasuhito Tanaka, Jack R. Wands, Chiung-Kuei Huang
Summary: This study found that serum 2-OG levels in cholangiocarcinoma patients are associated with the effectiveness of chemotherapy. Patients with progressive disease showed significantly higher levels of serum 2-OG compared to stable disease and partial response patients. The study also revealed that overexpression of ASPH mimics the effects of 2-OG, and knockdown of ASPH improves chemotherapy. Targeting ASPH enhances the effects of chemotherapy by modulating ATM and ATR, two key regulators of DDRs.