Determination of expression level of AP1S1, CDK9, FIGF and HDAC11 genes in bladder tumors for aggressive phenotype characterization by Olga Antonova, Zora Hammoudeh, Zornitza Yordanova, Boris Mladenov

“…To reduce the number of cystoscopy procedures, new and reliable biomarkers for predicting tumor behavior must be developed. The aim of this study was to confirm our previous results that demonstrated overexpression of AP1S1, CDK9, FIGF and HDAC11 in muscle-invasive bladder cancer. …”
Get full text

Patient and clinician opinions on internet search data use in therapy: Insights, considerations, and guidelines for integrating a new digital phenotyping measure by Alex Dhima, Soumya Choudhary, Keris Myrick, John Torous

Get full text

Leaf area index-based phenotypic assessment of sweet potato varieties using UAV multispectral imagery and a hybrid retrieval approach by Philemon Tsele, Abel Ramoelo, Lucy Moleleki, Sunette Laurie, Whelma Mphela, Natasha Tshuma

“…Phenotyping based on the estimation of plant traits such as the leaf area index (LAI) could aid the identification and monitoring of the sweet potato health, growth status and gross primary productivity. …”
Get full text

Invited review: Phenotyping strategies and genetic background of dairy cattle behavior in intensive production systems—From trait definition to genomic selection by Hendyel A. Pacheco, Rick O. Hernandez, Shi-Yi Chen, Heather W. Neave, Jessica A. Pempek, Luiz F. Brito

“…The behavior of individual animals can provide valuable information on their health and welfare status, improve reproductive management, and predict efficiency traits such as feed efficiency and milking efficiency. …”
Get full text

Insights into polyethylene biodegradative fingerprint of Pseudomonas citronellolis E5 and Rhodococcus erythropolis D4 by phenotypic and genome-based comparative analyses by Jessica Zampolli, Elena Collina, Marina Lasagni, Patrizia Di Gennaro

Get full text

Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol by Bruno Bonnechère, Dominique Hansen, Kim Daniels, Sharona Vonck, Jolien Robijns, Annemie Spooren

“…However, individual-level determinants fluctuate over time in real-world settings. Digital phenotyping (DP), employing data from personal digital devices, enables continuous, real-time quantification of behaviour in natural settings. …”
Get full text

COL4A5-p.Gly624Asp is the Predominant Variant in Europe Associated With a Mild Alport Syndrome Phenotype by Bastian M. Krüger, Annika Jens, Anna Neuhaus, Jasmina Ćomić, Riccardo Berutti, Jonathan de Fallois, Friederike Petzold, Johannes Münch, Jan Kowald, Tom H. Lindner, Klemens Budde, Klara K. Brüning, Julia Thumfart, Jacob Haas, Carolin B. Brigl, Kerstin Amann, Velibor Tasic, Nora Abazi-Emini, Valbona Nushi-Stavileci, Jovana Putnik, Nataša Stajić, Evelyn Seelow, Charlotte Hammett, Kai-Uwe Eckardt, Korbinian M. Riedhammer, Eva V. Schrezenmeier, Julia Hoefele, Jan Halbritter

“…Allelic and gene dosage effects drive phenotypic differences and should be incorporated into future risk models.…”
Get full text

Comparison of phenotypic selection of inbred lines, genomic selection of inbred lines, and evolutionary populations for field pea breeding in three Mediterranean regions by Paolo Annicchiarico, Meriem Laouar, Imane Thami-Alami, Margherita Crosta, Nelson Nazzicari, Luciano Pecetti, Luigi Russi

“…Pea breeding may rely on phenotypic selection (PS) of single-seed descent (SSD) or bulk-derived lines, line genomic selection (GS), and selection of evolutionary populations (EPs). …”
Get full text

Full-length human placental sFlt-1-e15a isoform induces distinct maternal phenotypes of preeclampsia in mice. by Gabor Szalai, Roberto Romero, Tinnakorn Chaiworapongsa, Yi Xu, Bing Wang, Hyunyoung Ahn, Zhonghui Xu, Po Jen Chiang, Birgitta Sundell, Rona Wang, Yang Jiang, Olesya Plazyo, Mary Olive, Adi L Tarca, Zhong Dong, Faisal Qureshi, Zoltan Papp, Sonia S Hassan, Edgar Hernandez-Andrade, Nandor Gabor Than

Get full text

Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker study by Carsten Langholm, Scott Breitinger, Lucy Gray, Fernando Goes, Alex Walker, Ashley Xiong, Cindy Stopel, Peter P. Zandi, Mark A. Frye, John Torous

“…Within-participant and between-participant models were created to assess how time-varying features collected through digital phenotyping could predict weekly anhedonia survey responses. …”
Get full text

Gingival thickness: effects on gingival wound healing by Kalia Theodorou, Ai Ni, Dimitris N. Tatakis

Get full text

A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification by Nagarjun Malagol, Tanuj Rao, Anna Werner, Reinhard Töpfer, Ludger Hausmann

“…Therefore, a validated high-throughput phenotyping tool was developed and established in order to detect and quantify leaf hair using images of single grapevine leaf discs and convolution neural networks (CNN). …”
Get full text

Predictive survival modelings for HIV-related cryptococcosis: comparing machine learning approaches by Xuemin Fu, Luling Wu, Luling Wu, Jingna Xun, Benno Pütz, Zhihang Zheng, Yanpeng Li, Yanpeng Li, Yinzhong Shen, Hongzhou Lu, Jun Chen, Bertram Müller-Myhsok

“…These findings suggest promising directions for individualized healthcare solutions, leveraging machine learning to enhance survival predictions in HIV-related cryptococcosis.…”
Get full text

Current Genetic Models for Prediction of Primary Myelofibrosis by LB Polushkina, VA Shuvaev, MS Fominykh, YuA Krivolapov, EA Belyakova, ZP Asaulenko, V Motyko, LS Martynenko, MP Bakai, NYu Tsybakova, SV Voloshin, SS Bessmeltsev, AV Chechetkin, IS Martynkevich

“…To study the relationship of karyotype, JAK2, CALR, and MPL driver mutations and ASXL1 mutation status with the progression and prediction of primary myelofibrosis (PMF). Materials & Methods. …”
Get full text

PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorder... by Christine Knaevelsrud, Sebastian Burchert, Till Langhammer, Leona Hammelrath, Annette Brose, Manuel Heinrich, Pavle Zagorscak

Get full text

Sialyltransferase-related genes as predictive factors for therapeutic response and prognosis in cervical cancer by Jia Shao, Can Zhang, Yaonan Tang, Aiqin He, Xiangyan Cheng

“…Background Cancer-associated hypersialylation is believed to be related to the metastatic cell phenotype and the suppression of sialyltransferases (SiaTs) has been suggested to be a potent preventive strategy against metastasis. …”
Get full text

Towards combining self-organizing maps (SOM) and convolutional neural network (CNN) for improving model accuracy: Application to malaria vectors phenotypic resistance by Komi Mensah Agboka, Elfatih M. Abdel-Rahman, Daisy Salifu, Brian Kanji, Frank T. Ndjomatchoua, Ritter A.Y. Guimapi, Sunday Ekesi, Landmann Tobias

Get full text

Single-Tube Multiplex PCR-SSP for the Detection of RHD Variant Alleles Commonly Found in Serologically D− Phenotype Individuals in a Thai Population by Ornuma Pittayabumrung, Chanvit Leelayuwat, Amornrat V. Romphruk, Piyapong Simtong

“…All of the Asian-type DEL samples present the RHCE*C/E allele (predicted RhCE phenotype: C/E+). Conclusion: This study successfully established a simple and reliable molecular diagnostic platform for analyzing RHD variant alleles commonly found in serologically D− phenotype individuals in a Thai population. …”
Get full text

Case Report: CD40LG Arg203Ile variant underlies atypical phenotype of X-linked hyper IgM syndrome by Takuro Nishikawa, Dan Tomomasa, Atsushi Hijikata, Hiroshi Kasabata, Yasuhiro Okamoto, Hans D. Ochs, Hirokazu Kanegane

“…These findings indicate that the p.Arg203Ile variant destabilizes CD40L–CD40 interactions without affecting CD40L expression, suggesting a hypomorphic phenotype. This report highlights the importance of combining genetic testing with functional analysis when evaluating atypical XHIGM presentations to predict clinical severity and provide a scientific basis for personalized treatment strategies. …”
Get full text

Investigating genotype-phenotype correlation of limb-girdle muscular dystrophy R8: association of clinical severity, protein biological function and protein oligomerization by Xiongda Liang, Jiameng Si, Hongting Xie, Yuqing Guan, Wanying Lin, Zezhang Lin, Ganwei Zheng, Xiaofeng Wei, Xingbang Xiong, Zhengfei Zhuang, Xuan Shang

“…It is the first time to reveal a connection between TRIM32 variant with LGMD R8 phenotype and this finding provided valuable reference in predicting disease severity and more precise guidance to affected family on genetic counseling.…”
Get full text