Rare homozygous CNPY3 variant causing autosomal recessive developmental and epileptic encephalopathy 60: A case report by Nohela Rehman, Zohra Hasan Ali, Mahrukh Nasir, Salman Kirmani

“…Comment: The variant reported in dataebases is predicted to be deleterious, consistent with the phenotype observed in our patient. …”
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Ordinary differential equation model of cancer-associated fibroblast heterogeneity predicts treatment outcomes by Junho Lee, Eunjung Kim

“…We present a mathematical model that describes cancer-immune-CAF interactions and exploits the heterogeneity of CAF phenotypes to predict cancer progression and treatment response. …”
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Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat by Subash Thapa, Harsimardeep S. Gill, Jyotirmoy Halder, Anshul Rana, Shaukat Ali, Maitiniyazi Maimaitijiang, Upinder Gill, Amy Bernardo, Paul St. Amand, Guihua Bai, Sunish K. Sehgal

“…Finally, we evaluated phenomic prediction for DON by integrating hyperspectral imaging with deep learning to directly predict DON in FHB‐infected wheat kernels and observed an accuracy (R2 = 0.45) comparable to best‐performing MT GS models. …”
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Salivary gland LAMP3 mRNA expression is a possible predictive marker in the response to hydroxychloroquine in Sjögren's disease. by Hiroyuki Nakamura, Tsutomu Tanaka, Youngmi Ji, Changyu Zheng, Sandra A Afione, Blake M Warner, Fabiola Reis Oliveira, Ana Carolina F Motta, Eduardo M Rocha, Masayuki Noguchi, Tatsuya Atsumi, John A Chiorini

“…In mice with established SjD-like phenotype, HCQ treatment also significantly decreased apoptotic cell death and ameliorated salivary gland hypofunction. …”
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Blood Eosinophil Count as a Predictive Biomarker of Chronic Obstructive Pulmonary Disease Exacerbation in a Real-World Setting by Moegi Komura, Tadashi Sato, Yohei Suzuki, Hitomi Yoshikawa, Naoko Arano Nitta, Mika Hayashi, Eriko Kuwasaki, Kimiko Horikoshi, Toshihiko Nishioki, Mikiko Mori, Yuzo Kodama, Shinichi Sasaki, Kazuhisa Takahashi

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Prognostic and Predictive Significance of mRNA Expression of ABC-transporter Genes in Patients with Non-small Cell Lung Cancer by M. M. Tsyganov, M. K. Ibragimova, E. O. Rodionov, A. A. Frolova, S. V. Miller, O. V. Cheremisina, S. A. Tuzikov, N. V. Litvyakov

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The diagnostic and predictive accuracy of the PRISMA-7 screening tool for frailty in older adults: a systematic review, and meta-analysis by Abdirahman Mohamed, Claire McCormack, Aditi Sooknarine-Rajpatty, Louise Barry, Ahmed Gabr, Aoife Leahy, Ida Carroll, Nora Cunnigham, Tadhg Prendiville, Elaine Shanahan, Owen Higginbotham, Sandra Hembrecht, Mary Walsh, Kevin Barry, Margaret O’Connor, Rose Galvin

“…This systematic review and meta-analysis examined the diagnostic and predictive accuracy of the Program of Research to Integrate the Services for the Maintenance of Autonomy 7 (PRISMA-7) frailty screening tool. …”
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Neoantigen load and HLA-class I expression identify a subgroup of tumors with a T-cell-inflamed phenotype and favorable prognosis in homologous recombination-proficient high-grade... by Yukari Kobayashi, Kazuhiro Kakimi, Hirokazu Matsushita, Kosei Hasegawa, Katsutoshi Oda, Shogo Yamamoto, Kayo Asada, Takahiro Karasaki, Akira Yabuno, Akira Nishijima, Takahide Nejo, Sho Sato, Yuji Ikeda, Manami Miyai, Yusuke Takahashi, Rui Yamaguchi, Keiichi Fujiwara, Hiroyuki Aburatani

“…Interestingly, this subset of patients also had better PFS (p=0.0015) and a more T-cell-inflamed tumor phenotype than patients with the same phenotype (neoAghiHLAhi) in HR-deficient HGSC.Conclusions Our results suggest that immune checkpoint inhibitors might be an alternative to explore in HR-proficient cases which currently do not benefit from PARP inhibition.…”
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More subtle microsatellite instability better predicts fluorouracil insensitivity in colorectal cancer patients by Kaname Miyashita, Seijiro Shioi, Tatsuhiro Kajitani, Yumiko Koi, Mototsugu Shimokawa, Akitaka Makiyama, Shinya Oda, Taito Esaki

“…Thus, more subtle Type A MSI better predicts fluoropyrimidine insensitivity in colorectal cancer patients, which may shed light on a hitherto overlooked connection between the MSI phenotypes and drug resistance in human cancer.…”
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Multi‐trait multi‐environment genomic prediction of preliminary yield trial in pulse crop by Rica Amor Saludares, Sikiru Adeniyi Atanda, Lisa Piche, Hannah Worral, Francoise Dariva, Kevin McPhee, Nonoy Bandillo

“…Multi‐trait multi‐environment enabled genomic prediction (MTME‐GP) offers a valuable alternative to predict missing phenotypes of selection candidates for multiple traits and diverse environments. …”
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Diversity of TCR repertoire predicts recurrence after CRT followed by durvalumab in patients with NSCLC by Masayuki Shirasawa, Tatsuya Yoshida, Takaji Matsutani, Yuki Takeyasu, Naoko Goto, Shigehiro Yagishita, Shigehisa Kitano, Hiroaki Kuroda, Toyoaki Hida, Takayasu Kurata, Yuichiro Ohe

“…The diversity of TCR repertoire might more accurately predict the efficacy of CRT followed by durvalumab therapy.…”
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Causal association analysis between blood metabolomes and osteopenia and therapeutic target prediction for mechanomedicine by Ruobing Liu, Yaru Huang, Maogang Jiang, Fei Xu, Qilin Pei, Jiajun Ma, Youru Li, Siqi Shen, Bo Zhang, Xiangyang Guo, Jing Cai, Wenwen Wang

“…We then conducted summary-data-based Mendelian randomization (MR) analysis and colocalization analyses to identify causal genes related to skeletal phenotypes, predicting therapeutic targets for osteopenia. …”
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Enhancing survival predictions in lung cancer with cystic airspaces: a multimodal approach combining clinical and radiomic features by Liang Yin, Jing Wang, Pingyou Fu, Lu Xing, Yuan Liu, Zongchang Li, Jie Gan

“…ObjectiveTo enhance the prognostic assessment and management of lung cancer with cystic airspaces (LCCA) by integrating temporal clinical and phenotypic dimensions of tumor growth.Patients and methodsA retrospective analysis was conducted on LCCA patients treated at two hospitals. …”
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Shifts in naturalistic behaviors induced by early social isolation stress are associated with adult binge-like eating in female rats by Timothy B. Simon, Julio Sierra, Arianna Williams, Giara Wright, Allison Rhee, Julius Horn, John Lou, Fransua Sharafeddin, Perla Ontiveros-Ángel, Johnny D. Figueroa

“…Currently, our knowledge of longitudinal noninvasive digital biomarkers predictive of BE needs further development. Monitoring longitudinal impacts of adolescent social isolation stress on naturalistic behaviors in rats will enable the identification of noninvasive digital markers of disease progression to predict adult eating strategies. …”
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Imitating the “breeder's eye”: Predicting grain yield from measurements of non‐yield traits by Hongyu Jin, Michael C. Tross, Ruijuan Tan, Linsey Newton, Ravi V. Mural, Jinliang Yang, Addie M. Thompson, James C. Schnable

“…We developed and trained a phenotypic prediction model to predict yield from manually scored plant traits. …”
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QTN mapping, gene prediction and molecular design breeding of seed protein content in soybean by Doudou Zhang, Xu Sun, Bo Hu, Wen-Xia Li, Hailong Ning

“…A single detected QTN explained 0.53%–3.37% of the phenotypic variation. A molecular-assisted selection breeding model containing the 18 QTNs explained 51.97% of the phenotypic variation in protein content. …”
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Integration of genomic and pharmacokinetic data to predict clinical outcomes in HIV-associated cryptococcal meningitis by Dr Katharine Stott, Mr Jason Mohabir, Miss Kate Bowers, Assistant Professor Jennifer Tenor, Associate Professor Dena Tofaletti, Dr Jennifer Unsworth, Ms Ana Jimenez-Valverde, Mr Ajisa Ahmadu, Dr Melanie Moyo, Mrs Ebbie Gondwe, Mrs Wezi Chimang'anga, Mr Madalitso Chasweka, Dr David Lawrence, Professor Joseph Jarvis, Professor Tom Harrison, Professor William Hope, Professor David Lalloo, Professor Henry Mwandumba, Professor John Perfect, Professor Christina Cuomo

“…Background: Cryptococcal meningitis causes an estimated 112,000 global deaths annually. Genomic and phenotypic features of the infecting strain of Cryptococcus spp. have been studied extensively. …”
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NIRSpredict: a platform for predicting plant traits from near infra-red spectroscopy by Axel Vaillant, Grégory Beurier, Denis Cornet, Lauriane Rouan, Denis Vile, Cyrille Violle, François Vasseur

“…Summary Near-infrared spectroscopy (NIRS) has become a popular tool for investigating phenotypic variability in plants. We developed the Shiny NIRSpredict application to get predictions of 81 Arabidopsis thaliana phenotypic traits, including classical functional traits as well as a large variety of commonly measured chemical compounds, based from near-infrared spectroscopy values based on deep learning. …”
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A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin by Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov

“…We present a data assimilation-prediction pipeline with a two-phenotype model that includes a spatiotemporal component to characterize and predict the evolution of in-vitro breast cancer cells and their heterogeneous response to chemotherapy. …”
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Clinical ocular prediction model of postoperative ametropic amblyopia in patients with congenital ectopia lentis by Xinyue Wang, Xinyue Wang, Xinyue Wang, Xinyue Wang, Linghao Song, Linghao Song, Linghao Song, Yan Liu, Yan Liu, Yan Liu, Qiuyi Huo, Qiuyi Huo, Qiuyi Huo, Yang Sun, Yang Sun, Yang Sun, Zexu Chen, Zexu Chen, Zexu Chen, Wannan Jia, Wannan Jia, Wannan Jia, Xin Shen, Xin Shen, Xin Shen, Yalei Wang, Yalei Wang, Yalei Wang, Xinyao Chen, Xinyao Chen, Xinyao Chen, Tianhui Chen, Tianhui Chen, Tianhui Chen, Yongxiang Jiang, Yongxiang Jiang, Yongxiang Jiang, Rui Wang

“…The prediction model established with preoperative BCVA and cardiac phenotype can provide accurate and individualized predictions of postoperative amblyopia, and it has the potential to assist ophthalmologists in rapidly identifying high-risk patients.…”
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