{"title":"Artificial intelligence in de novo protein design","authors":"Jiawei Yao, Xiaogang Wang","doi":"10.1016/j.medntd.2025.100366","DOIUrl":"10.1016/j.medntd.2025.100366","url":null,"abstract":"<div><div>The primary goal of protein engineering has always been to create molecules with optimal functions and characteristics. One of the most exciting avenues of research in this field is de novo protein design. This approach facilitates the synthesis of entirely new molecules without relying on existing protein, thereby offering a novel method for generating molecular entities that were previously unimaginable. The application of artificial intelligence in this field has been a significant advancement. By leveraging machine learning algorithms trained on extensive sequence and structure datasets, scientists have been able to make de novo protein design a practical reality. In this paper, we will delve into the key artificial intelligence innovations that have driven this progress and explore how they unlock groundbreaking opportunities. These advancements, we believe, have the potential to push beyond the current state of the art, enabling us to design proteins strategically and robustly. Moreover, they offer solutions to pressing societal challenges, such as developing new therapeutics, creating sustainable biomaterials, or engineering enzymes for environmental remediation.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100366"},"PeriodicalIF":0.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kang Sun , Xinxin Zhang , Shuting Liang , Liangtao Li , Caicai Jiao , Qian Wang , Wuliang Chen , Liang Hu , Yubo Fan
{"title":"The soft liquid metal-based pressure sensor based on resistance-capacitance coupling","authors":"Kang Sun , Xinxin Zhang , Shuting Liang , Liangtao Li , Caicai Jiao , Qian Wang , Wuliang Chen , Liang Hu , Yubo Fan","doi":"10.1016/j.medntd.2025.100363","DOIUrl":"10.1016/j.medntd.2025.100363","url":null,"abstract":"<div><div>With the rapid development of the intelligent technology, flexible sensors have widely applied in wearable electronic products, human-computer interaction, soft robots, health care and other emerging fields. At present, mechanical sensors are based on resistance or capacitance changes alone to achieve a perceived response to force. Meanwhile the methods of flexible mechanical sensors to improve the sensitivity are mainly micro-structuring of the electrode or dielectric layer, which is a complicated process and less probing of the electrode shape. Therefore, this paper proposes a flexible sensor based liquid metal to measure mechanics through resistive-capacitive coupling. Through testing, we obtained the optimal preparation scheme. We also explored the mechanical properties of the sensor design with different combinations of liquid metal electrode shapes using simulation, and then tested the mechanical properties of the double helix liquid metal sensor prepared according to the model structure. With resistive-capacitive coupling, the sensor can achieve a sensitivity of 0.4653 kPa<sup>−1</sup> with a response range of 10∼343 Pa, and it has good tensile and compressive response, and cyclic stability. This study provides a new structural design direction for the subsequent application of liquid metal in flexible sensing with high sensitivity.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100363"},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ruixiang Hou, Chaojuan Yang, Chunjing Tao, Yubo Fan
{"title":"Progress in rehabilitation equipment for autism spectrum disorder","authors":"Ruixiang Hou, Chaojuan Yang, Chunjing Tao, Yubo Fan","doi":"10.1016/j.medntd.2025.100365","DOIUrl":"10.1016/j.medntd.2025.100365","url":null,"abstract":"<div><div>Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social interaction deficits, verbal and non-verbal communication difficulties, and restricted interests and repetitive behaviors. ASD has a high morbidity and disability rate. Finding treatment approaches for autism is challenging due to the complex interplay of genetic and environmental factors that contribute to the disorder. Currently, therapeutic approaches include behavioral and pharmacological interventions, and some clinical research focuses on developing equipment for autism rehabilitation. Autism rehabilitation equipment can generally be categorized into social robots, virtual reality systems, physical stimulation devices, and augmentative and alternative communication (AAC) devices, each with different application scenarios and rehabilitation mechanisms. This article summarizes existing equipment and reviews the status of research and development in the field of autism rehabilitation, discussing the principles of the equipment and potential neural mechanisms to find breakthroughs in the treatment of ASD.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100365"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dong Xue , Zhao Yu , Li Jianchao , Liu Linyi , Wang Zengwu , Ding Rongjing , Tao Chunjing , Fan Yubo
{"title":"Effectiveness, safety and adherence of home-based exercise rehabilitation in patients with coronary heart disease patients: A systematic review","authors":"Dong Xue , Zhao Yu , Li Jianchao , Liu Linyi , Wang Zengwu , Ding Rongjing , Tao Chunjing , Fan Yubo","doi":"10.1016/j.medntd.2025.100361","DOIUrl":"10.1016/j.medntd.2025.100361","url":null,"abstract":"<div><div>Exercise rehabilitation is important in the home-based rehabilitation of coronary heart disease. However, a comprehensive model to assess the effectiveness, safety, and adherence of home exercise rehabilitation has not yet been established. This study aimed to synthesize and evaluate the evidence on the effectiveness, safety, and adherence of home-based exercise rehabilitation for patients with coronary heart disease. English and Chinese databases were retrieved from the inception of the database to March 1 in 2024 for HBCR and exercise. A total of 26 studies met the inclusion criteria. The main indicators to assess the effectiveness of exercise rehabilitation include: peak oxygen uptake, metabolic equivalents, 6-min walk test distance, and quality of life. The main indicators to assess the safety of exercise rehabilitation include: re-hospitalization rate, and mortality. Aerobic exercise can increase peak oxygen uptake with better safety. The main indicators for assessing adherence include the number and duration of adherent training sessions and the percentage of training completed. A comprehensive model to assess the effectiveness, safety, and adherence of home exercise rehabilitation has been established based on these indicators. Furthermore, enhancing the effectiveness necessitates high-intensity aerobic exercise. The key element ensuring the safety is the development of precise and personalized exercise prescriptions. An important trend in enhancing adherence is the integrated application of intelligent wearable technology. In the future, the home-based exercise rehabilitation will evolve towards individual precision, greater safety, and higher effectiveness.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100361"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdoulaye Billo Diallo , Rafet Yapıcı , Ömer İncebay , Hasan Çınar
{"title":"Geometric optimization of a blood pump impeller using the Taguchi method: CFD analysis and experimental evaluation","authors":"Abdoulaye Billo Diallo , Rafet Yapıcı , Ömer İncebay , Hasan Çınar","doi":"10.1016/j.medntd.2025.100364","DOIUrl":"10.1016/j.medntd.2025.100364","url":null,"abstract":"<div><div>Rotodynamic Left Ventricular Assist Devices (LVADs) are critical in managing severe heart failure by providing mechanical circulatory support. Improving these blood pumps' efficiency is crucial for both lowering the device's energy consumption and enhancing patient comfort. In this study, the efficiency of a reference centrifugal blood pump was improved through geometric optimization and validated using computational fluid dynamics (CFD) simulations and experiments. The number of blades, inlet width, outlet width, inlet angle, and outlet angle are among the important impeller parameters that were optimized at three different levels. The orthogonal array of the Taguchi design method was used to reduce the 243 possible configurations from the full-factorial experimental design to 27 trial tests. Analysis of Variance (ANOVA) was used to determine the optimal geometric parameters, which led to maximum efficiency after S/N ratios were analyzed using MINITAB-18 software. The performance of the optimized pump was evaluated via CFD at 3300, 3150, and 3450 pump rotation speeds, resulting in a 21% increase in hydraulic efficiency at the design point (5 L/min, 3300 rpm, and 128.515 mm-Hg). Furthermore, experimental results demonstrated reduced power consumption for the optimized pump compared to the reference pump. This study highlights the potential of geometric optimization in advancing the performance of rotodynamic LVADs.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100364"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of physicochemical properties of polysaccharide derived mucoadhesive hydrogels to design tunable drug delivery carriers","authors":"Ankita Kumari, Diwanshi Sharma, Baljit Singh","doi":"10.1016/j.medntd.2025.100360","DOIUrl":"10.1016/j.medntd.2025.100360","url":null,"abstract":"<div><div>Recent initiatives have focused on designing copolymeric materials from bioactive polysaccharides, unveiling new horizons for their transformative use in biomedical applications. Sterculia gum (SG) is a bioactive polysaccharide which exhibits various therapeutic activities and effective in wound healing. Herein this research SG derived hydrogels were designed for wound dressing (WD) and drug delivery (DD) applications. These hydrogels were prepared by integrating PVP and HEMA onto SG by crosslinking polymerization reaction and were encapsulated with doxycycline to enhance potential of WD for healing. Copolymeric films were characterized using various techniques such as FESEM, EDS, AFM, FTIR, <sup>13</sup>C NMR, XRD and various biomedical assays. Uneven porous morphology along with rough surface of hydrogels was recognized from FESEM and AFM analysis. XRD demonstrated the amorphous state of materials. FTIR and <sup>13</sup>C NMR confirmed integration of PVP and PHEMA onto SG. Hydrogel exhibited bioadhesive, biocompatible and antioxidant properties. Diffusion of doxycycline followed a non-Fickian mechanism of diffusion consistent with kinetic model Korsmeyer-Peppas. The dressings were elastic and demonstrated mechanical stability during evaluation of tensile strength. Additionally, dressing displayed antimicrobial activity against <em>P. aeruginosa</em>, <em>E. coli</em>, and <em>S. aureus</em>. The biomedical properties suggested that SG derived hydrogel could be utilized in applications for WD and drug delivery.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100360"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Avery Foote, Emma de Waal, Frederico Caiado, Amr Samman, Arkadiy Ukolov
{"title":"A comprehensive review of deep brain stimulation for Parkinson's disease: The history, current state of the art and future possibilities","authors":"Avery Foote, Emma de Waal, Frederico Caiado, Amr Samman, Arkadiy Ukolov","doi":"10.1016/j.medntd.2025.100362","DOIUrl":"10.1016/j.medntd.2025.100362","url":null,"abstract":"<div><div>Parkinson's Disease (PD) is a neurodegenerative condition that results in the death of dopamine-producing neurons that mainly affects the motor cortex and causes such symptoms as tremors and difficulty speaking. White early treatments for PD included ablative and stereotactic surgeries, the precise destruction of specific brain structures, these lost favor with the emergence of levodopa in the second half of the 20th century. Nevertheless, the shortcomings of this drug, such as the reduced patient sensitivity to the treatment, sparked a new interest in surgical procedures, which in turn gave rise to the Deep Brain Stimulation (DBS) technology. In this paper, we explore the history of PD treatments with a focus on DBS, as well as the developments and advancements of the technology, including innovations in software, hardware and targeting techniques. We highlight the state of the art of PD treatment and outline future possibilities in this field.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100362"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fengji Li , Fei Shen , Ding Ma , Jie Zhou , Li Wang , Fan Fan , Tao Liu , Xiaohong Chen , Tomoki Toda , Haijun Niu
{"title":"Mandarin speech reconstruction from surface electromyography based on generative adversarial networks","authors":"Fengji Li , Fei Shen , Ding Ma , Jie Zhou , Li Wang , Fan Fan , Tao Liu , Xiaohong Chen , Tomoki Toda , Haijun Niu","doi":"10.1016/j.medntd.2025.100359","DOIUrl":"10.1016/j.medntd.2025.100359","url":null,"abstract":"<div><div>The loss of speech function due to conditions such as laryngectomy and vocal cord paralysis significantly impacts the quality of life for patients. Achieving effective communication for these patients is a goal pursued by researchers. This study primarily explores a method for reconstructing Mandarin speech based on voice-related neck and facial surface electromyography (sEMG). Neck and facial sEMG signals and speech waveform were synchronously collected during normal speech production. A speech reconstruction model for Mandarin speech, based on multi-scale feature extraction from EMG and a generative adversarial network (GAN), was developed. Both subjective and objective evaluations were conducted to assess the speech reconstruction performance of the model. The evaluation results indicate that the model effectively reconstructs speech from neck and facial sEMG signals. The reconstructed speech closely matches the original in terms of spectrogram and fundamental frequency, with mel-cepstrum distortion of 8.45 dB, log F0 RMSE of 0.40, F0 correlation coefficient of 0.71 and F0 voiced/unvoiced estimation accuracy of 0.80. The character error rate of the reconstructed speech is 0.32, while the tone error rate is 0.26. The subjective listening test results show that the naturalness of the reconstructed speech is acceptable, with a mean opinion score greater than 3. This study demonstrates the potential of deep learning techniques in effectively reconstructing Mandarin speech from sEMG.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100359"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeinab Famili , Hadi Soltanizadeh , Bita Shalbafan
{"title":"A review of evaluation methods for Duchenne muscular dystrophy","authors":"Zeinab Famili , Hadi Soltanizadeh , Bita Shalbafan","doi":"10.1016/j.medntd.2025.100358","DOIUrl":"10.1016/j.medntd.2025.100358","url":null,"abstract":"<div><div>In recent years, the study of body movement performance in disease assessment has attracted significant attention. Duchenne Muscular Dystrophy (DMD) is a disease that significantly affects mobility. It is crucial to assess the movement of both the upper and lower limbs to diagnose this condition effectively. This research categorizes DMD assessment methods into two types: human-based assessments (based on questionnaires) and Machine-based assessments (using motion tracking and computer algorithms). The validity of human-based assessments, which often focus on daily activities and muscle strength, may be called into question. This issue underscores the necessity of utilizing qualitative and observational methods to achieve more accurate assessments. In contrast, Machine-based assessment have benefited from recent technological advancements that enable innovative techniques for disease evaluation, thereby improving the accuracy and validity of DMD diagnosis. The integration of motion tracking systems with artificial intelligence algorithms mitigates the limitations of visual and subjective assessments, providing more precise and objective results. These advancements aim to enhance the accuracy, reliability, and validity of DMD diagnosis while offering a more comprehensive approach to assessing individuals with the condition. In this study, the existing assessment methods in both categories are introduced and compared, analyzing their advantages and limitations to provide an accurate evaluation of their performance in diagnosing DMD. The aim of this review is to identify the best methods for diagnosing and monitoring DMD based on accuracy, reliability, and efficiency.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100358"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cover","authors":"","doi":"10.1016/S2590-0935(25)00007-4","DOIUrl":"10.1016/S2590-0935(25)00007-4","url":null,"abstract":"","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100356"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}