Results 91 to 100 of about 26,189 (259)

Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects

iMeta, EarlyView.
Microbiome age (MA) has emerged as an innovative biomarker of biological aging, reflecting host aging trajectories through dynamic alterations in microbial composition, function, and host–microbe interactions across multiple body ecosystems. Diverse computational strategies—including traditional machine learning, deep learning, and multi‐omics ...
Zhexin Ni, Jiaojiao Xie, Zhichun Zhang, Keming Zhang, Jie Ding, Mingyang Chang, Ying Su, Yunan Zhang, Mingfei Yao, Chengyuan Wang, Yan Yan, Wenjie Fang, Hainv Gao, Xuecong Tian, Yangshuo Li, Xinlin Zhu, Wen Zhang, Wanqing Liao, Gaoyuan Xu, Guojing Chen, Xiaoyi Lv, Chaoqin Yu, Weihua Pan, Vadim Molodtsov, Lanjuan Li, Yue Gao, Wei Zhou   +26 more
wiley   +1 more source

A Comprehensive Study of Bidirectional Interactions Between the Human Microbiome and Blood Malignancies and Hematologic Conditions: Focus on Novel Therapeutic Strategies

Journal of Clinical Laboratory Analysis, EarlyView.
Microbiota‐targeted therapeutic strategies in hematological disorders. aHSCT: Transplanted immune cells from the donor may attack the recipient's tissues, especially when damage to the intestinal epithelium disrupts the gut microbiota, contributing to GVHD. Maintaining a balanced gut microbiota that supports immune regulation helps reduce GVHD risk and
Alireza Molajafari, Hadi Sedigh Ebrahim‐Saraie, Majid Taati Moghadam, Meysam Hasannejad‐Bibalan   +3 more
wiley   +1 more source

3D‐Printed Models in Oral Surgery Simulation Training: A Scoping Review

Journal of Dental Education, EarlyView.
ABSTRACT Background Advancements in three‐dimensional (3D) printing have introduced innovative tools for medical and dental education. In dental surgery, 3D‐printed simulation models offer valuable presurgical training. This review explores the scope, study types, key findings, limitations, and future research needs to enhance their application in ...
Shahrzad Rahimizadeh Nahavandi, Leila Gholami, Amir Parham Pirhadi Rad, Morteza Ghojazadeh, Kevin Aminzadeh, Rana Tarzemany   +5 more
wiley   +1 more source

Platelet‐Rich Fibrin (PRF) Application and Education in US Graduate Programs: A Cross‐Sectional Study

Journal of Dental Education, EarlyView.
ABSTRACT The aim of this cross‐sectional study was to assess platelet‐rich fibrin (PRF) application and education in clinical use among US graduate periodontology, endodontic, and oral and maxillofacial surgery programs. A survey questionnaire was electronically distributed to 84 oral and maxillofacial surgery (OMFS), 46 endodontic, and 46 ...
Elena Furman, Mark Piroutek, T. Roma Jasinevicius, Andre Paes B. da Silva   +3 more
wiley   +1 more source

Intelligent design of artificial biocatalyst for biomedical diseases

Journal of Intelligent Medicine, EarlyView.
This review summarizes recent advances in the intelligent design of artificial biocatalysts for biomedical diseases. By leveraging tailored design strategies, including environment‐responsive engineering and rational/artificial intelligence‐aided optimization, these biocatalysts enable precise modulation of pathological microenvironments and targeted ...
Lijie Zhang, Nan Song, Huanhuan Qiao, Si Sun   +3 more
wiley   +1 more source

Peri‐implant disease pathogenesis animal models: Consensus report of Workgroup 1 of the IADR Implantology Research Group Best Evidence Consensus Symposium on Peri‐Implant Disease and Its Treatment

Journal of Periodontology, EarlyView.
Abstract Background The pathogenesis and etiology of peri‐implantitis demand a deeper understanding to lead to successful treatment modalities. Animal models of peri‐implantitis pathogenesis offer unique insights but their translational impact requires consideration of implant biomaterials science.
Georgios Kotsakis, Leonardo Mancini, Panos Afouxenides, Andrea Roccuzzo, IADR IRG Peri‐implantitis Best Evidence Consensus Working Group 1, Tara Aghaloo, Georgios Belibasakis, Nagihan Bostanci, Li Dehua, Nikolaos Donos, Alpdogan Kantarci, Alireza Moshaverinia, Flavia Pirih, Mia Rakic, Frank Schwarz, Sukirth Ganesan   +15 more
wiley   +1 more source

Biomaterials for resolution of peri‐implantitis: Consensus report of Workgroup 2 of the IADR Implantology Research Group Best Evidence Consensus Symposium on Peri‐Implant Disease and Its Treatment

Journal of Periodontology, EarlyView.
Abstract Background Peri‐implantitis is a destructive disease affecting the tissues surrounding dental implants. Biomaterials may be applied during surgical treatment to reconstruct bony defects and support soft tissue healing. However, current evidence is unclear if these treatments increase the likelihood of peri‐implantitis resolution.
Sukirth M. Ganesan, David R. Fraser, Mustafa Tattan, Jessica M. Latimer, IADR IRG Peri‐Implantitis Best Evidence Consensus Working Group 2, Mario Aimetti, Hatice Hasturk, Purnima S. Kumar, Fernando Suarez Lopez Del Amo, Andreas Stavropoulos, Daniel S. Thoma, Spyridon Vassilopoulos, Hom‐Lay Wang, Georgios Kotsakis   +13 more
wiley   +1 more source

Predicting peri‐implantitis incidence and implant failure via risk‐assessment and prognostication tools: A validation study

Journal of Periodontology, EarlyView.
Abstract Background Identifying individuals at high risk for developing peri‐implantitis (PI) and then determining the prognosis for implants with PI is crucial for treatment planning. Methods This study longitudinally followed implants from implant placement retrospectively.
Muhammad H. A. Saleh, Era Kakar, Giuseppe Troiano, Hamzeh Almashni, Jonathan Misch, Fariba Esperouz, Shahad Alhazmi, Hom‐Lay Wang, Zoltán Baráth, Istvan A. Urban   +9 more
wiley   +1 more source

Deep learning cone‐beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects

Journal of Periodontology, EarlyView.
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics, Balint Molnar, Csaba Pinter, David García‐Mato, Andres Diaz‐Pinto, Attila Tanacs, Andrea Dobos, Peter Windisch, Christoph A. Ramseier   +8 more
wiley   +1 more source

Validation of model predicting furcation involvement in newly crowned teeth—A 5‐year retrospective follow‐up

Journal of Periodontology, EarlyView.
Abstract Background This study aimed to perform a prediction model validation for furcation involvement (FI) risk in molars receiving a new fixed prosthesis (FP) using a unique cohort assessed at three time points. Methods Following the Oral Health Statistical (OHStat) reporting guidelines, this cohort study examined 181 patients (203 molars) from 2018–
Khushboo Kalani, Giuseppe Troiano, Asfandyar Sheikh, Era Kakar, Hom‐Lay Wang, Muhammad H. A. Saleh   +5 more
wiley   +1 more source