Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer by Nicolas Captier, Marvin Lerousseau, Fanny Orlhac, Narinée Hovhannisyan-Baghdasarian, Marie Luporsi, Erwin Woff, Sarah Lagha, Paulette Salamoun Feghali, Christine Lonjou, Clément Beaulaton, Andrei Zinovyev, Hélène Salmon, Thomas Walter, Irène Buvat, Nicolas Girard, Emmanuel Barillot

“…In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information. …”
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Radiomic prediction for durable response to high‐dose methotrexate‐based chemotherapy in primary central nervous system lymphoma by Haoyi Li, Mingming Xiong, Ming Li, Caixia Sun, Dao Zheng, Leilei Yuan, Qian Chen, Song Lin, Zhenyu Liu, Xiaohui Ren

“…For each patient, a total of 1218 radiomic features were extracted from prebiopsy T1 contrast‐enhanced MR images. Multiple machine‐learning algorithms were utilized for feature selection and classification to build a radiomic signature. …”
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Informatics strategies for early detection and risk mitigation in pancreatic cancer patients by Di Jin, Najeeb Ullah Khan, Wei Gu, Huijun Lei, Ajay Goel, Tianhui Chen

“…AI-driven approaches, such as those employed in Project Felix and CancerSEEK, have been highlighted for their potential to enhance early detection through deep learning and biomarker discovery. This review underscores the importance of universal genetic testing and the integration of AI with traditional diagnostic methods to improve outcomes in high-risk individuals. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…ANNS are inspired by the neural architecture of human brain capable of learning and recognizing patterns in unchartered data after trained examples, on the other hand GAs come from fundamental principles underlying natural selection perform optimization process based-on evolutionary methods which includes fitness evaluation, comparison, selection, crossover, and mutation. …”
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Analyzing special needs reports for children: sociodemographic trends, diagnoses, and support areas over five years (2019–2024) by Semih Canpolat, Mehmet Emin Parlak, Esra Kurt Canpolat, Erdogan Oz

“…When the areas of Specific Learning Disabilities (SLD) were analyzed, it was determined that the highest rate was in the area of rehabilitation/early support (intervention) requirement to support cognitive functions with 43.1%. …”
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Impact of socio-demographic structure of the deaf people communities in prevalence of hereditary hearing loss by O. L. Posukh, M. S. Bady-Khoo, M. V. Zytsar, V. Yu. Mikhalskaia, S. A. Lashin, N. A. Barashkov, G. P. Romanov

“…The start for these events was the breakdown of the deep social isolation of deaf people, which occurred about 300 years ago in Europe, and later in the US, when special schools for the deaf with learning sign language as a common tool for communication were established (linguistic homogamy). …”
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Keterlibatan Stakeholder Pada Strategi TI; Studi Pemetaan Sistematis by Hidayatul Aini Puteri, Apol Pribadi Subriadi

“…Abstract Studying stakeholders aims to explain how companies treat their stakeholders and the impact of their choices on the company's overall performance. Learning stakeholder strategies has been carried out in various fields. …”
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Mechanism of Electroacupuncture on Neuropathic Pain via Regulation of CD137L in Hippocampal Glia by ZHENG Changyue, LAN Yanyan, HUANG Qiuling, JIANG Menghong, WANG Zhifu

“…On the 28th day after modeling, new object recognition test was used to detect the learning and memory ability. The expression of hippocampal CA1 region CD137L, Iba-1, GFAP and tumor necrosis factor-α (TNF-α) was detected by enzyme-linked immunosorbent assay (ELISA). …”
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Research progress of humanistic care in nursing teaching and teacher training (人文关怀在护理教学与师资培养中的应用研究进展) by LI Yuxin (李玉欣), LI Xiuli (李秀丽), DENG Jianhua (邓建华), LIU Sichun (刘司春), TANG Ling (唐玲)

“…In addition, it is required to strengthen the training of nursing teachers to achieve a high level of consistency among clinical nurses and achieve the goal of mutual learning and teaching. This paper summarized the development of humanistic care in nursing teaching and the research progress of nursing teacher training, and provided reference for clinical practice and development of nursing industry. …”
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Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years by Christos Grigoroglou, Darren M Ashcroft, Evangelos Kontopantelis, David Reeves, Salwa S Zghebi, Rosa Parisi, Brian McMillan

“…Objective To assess the diagnostic Read code usage for 18 conditions by examining their frequency and diversity in UK primary care between 2000 and 2013.Design Population-based cohort studySetting 684 UK general practices contributing data to the Clinical Practice Research Datalink (CPRD) GOLD.Participants Patients with clinical codes for at least one of asthma, chronic obstructive pulmonary disease, diabetes, hypertension (HT), coronary heart disease, atrial fibrillation (AF), heart failure, stroke, hypothyroidism, chronic kidney disease, learning disability (LD), depression, dementia, epilepsy, severe mental illness (SMI), osteoarthritis, osteoporosis and cancer.Primary and secondary outcome measures For the frequency ranking of clinical codes, canonical correlation analysis was applied to correlations of clinical code usage of 1, 3 and 5 years. …”
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Integrating Infant Safe Sleep and Breastfeeding Education Into an App in a Novel Approach to Reaching High-Risk Populations: Prospective Observational Study by Tamar Krishnamurti, Rachel Moon, Rudolph Richichi, Rachel Berger

“…The primary outcome was engagement, defined as watching at least 1 video either in response to a push notification or directly from the app’s learning center. ResultsA total of 7572 pregnant persons were enrolled in the TodaysBaby Program—3308 with push notifications and 4264 without. …”
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Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation by Muhammad Roman, Abdul Shahid, Shafiullah Khan, Lisu Yu, Muhammad Asif, Yazeed Yasin Ghadi

“…For automated classification, we need to train deep learning models, which take the citation context as input and provides the reason for citing a paper. …”
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Hot and cold exposure triggers distinct transcriptional and behavioral responses in laboratory-inbred pond snails by Veronica Rivi, Anuradha Batabyal, Cristina Benatti, Fabio Tascedda, Johanna Maria Catharina Blom, Ken Lukowiak

“…., 4 ​°C and 30 ​°C), particularly in the context of learning and memory formation. We found that while short-term (1 ​h) cold exposure transiently upregulated the expression levels of HSP70 and HSP40 in the snail's central ring ganglia, prolonged cold exposure (24 ​h) resulted in a significant downregulation of LymMIPII and an upregulation of LymMIPR. …”
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Tropical Cyclone Size Prediction and Development of An Error Correction Method by Guo Ruichen, Xu Jing, Wang Yuqing

“…Based on this relationship, a machine learning model, XGBoost, is used to develop an R17 size correction scheme that incorporate initial and forecast intensity, inner-core and outer-core sizes, and initial errors as predictors to estimate and correct model-predicted size errors. …”
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Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma by Yi Li, Xinyi Hong, Wenqian Xu, Jinhong Guo, Yongyuan Su, Haolan Li, Yingjie Xie, Xing Chen, Xiong Zheng, Sufang Qiu

“…Differentially expressed genes (DEGs) were identified between radiotherapy-sensitive and resistant samples. Machine learning algorithms and Cox regression were used to construct a prognostic risk model, validated in the GSE102349 dataset. …”
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Methodology for adapting a co-created early childhood development intervention and implementation strategies for use by frontline workers in India and Guatemala: a systematic appli... by Amruta Bandal, Sara Hernández, Revan Mustafa, Karyn Choy, Namrata Edwards, Magdalena Guarchaj, Marinés Mejía Alvarez, Anushree Sane, Scott Tschida, Chetna Maliye, Ann Miller, Abhishek Raut, Roopa Srinivasan, Morgan Turner, Bradley H. Wagenaar, Ilgi Ertem, Maria del Pilar Grazioso, Subodh S. Gupta, Vibha Krishnamurthy, Peter Rohloff

“…Final adaptations included: refining training techniques to match skill levels and learning styles of frontline workers; tailoring all visual materials to local languages and contexts; design of job aids for providing developmental support messages; modification of referral and triage processes for children in need of enhanced support and speciality referral; and creation of post-training support procedures. …”
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Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models by Duo Xu, Jenna Karcheski, Chi-Yan Law, Ye Zhu, Chia-Jung Hsu, Jonathan C. Tan

“…We present a machine learning approach using denoising diffusion probabilistic models (DDPMs) to estimate magnetic field strength from synthetic observables such as column density, orientation angles of the dust continuum polarization vector, and line-of-sight (LOS) nonthermal velocity dispersion. …”
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Diagnostic impact of DNA methylation classification in adult and pediatric CNS tumors by Laetitia Lebrun, Nathalie Gilis, Manon Dausort, Chloé Gillard, Stefan Rusu, Karim Slimani, Olivier De Witte, Fabienne Escande, Florence Lefranc, Nicky D’Haene, Claude Alain Maurage, Isabelle Salmon

“…DNA methylation classification has emerged as a powerful machine learning approach for clinical decision-making in CNS tumors. …”
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Inhibition of tumour necrosis factor alpha by Etanercept attenuates Shiga toxin-induced brain pathology by Robin Christ, Devon Siemes, Shuo Zhao, Lars Widera, Philippa Spangenberg, Julia Lill, Stephanie Thiebes, Jenny Bottek, Lars Borgards, Andreia G. Pinho, Nuno A. Silva, Susana Monteiro, Selina K. Jorch, Matthias Gunzer, Bente Siebels, Hannah Voss, Hartmut Schlüter, Olga Shevchuk, Jianxu Chen, Daniel R. Engel

“…Analysis of microglial populations using a novel human-in-the-loop deep learning algorithm for the segmentation of microscopic imaging data indicated specific morphological changes, which were reduced to healthy condition after inhibition of TNF-α. …”
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The indirect role of perceived survival expectations in the association between perceived hope and suicidal thoughts among palestinians amid war in Gaza by Feten Fekih-Romdhane, Kamel Jebreen, Tasnim Swaitti, Mohammed Jebreen, Eqbal Radwan, Wafa Kammoun-Rebai, Mahmoud A. Abu Samra, Asmaa Abusamra, Sahar Obeid, Souheil Hallit

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