Søgeresultater - Iman Azimi

Development of a High-throughput Agar Colony Formation Assay to Identify Drug Candidates against Medulloblastoma af Mohammed Sedeeq, Ahmed Maklad, Nuri Gueven, Iman Azimi

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Evaluation of LLMs accuracy and consistency in the registered dietitian exam through prompt engineering and knowledge retrieval af Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li

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Endogenous Anti-Cancer Candidates in GPCR, ER Stress, and EMT af Rohit Gundamaraju, Wenying Lu, Iman Azimi, Rajaraman Eri, Sukhwinder Singh Sohal

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Identifying daily-living features related to loneliness: A causal machine learning approach. af Yuning Wang, Jennifer Auxier, Mark Amayag, Iman Azimi, Amir M Rahmani, Pasi Liljeberg, Anna Axelin

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Role of LIN28B in the Regulation of Ribosomal Biogenesis and Lipid Metabolism in Medulloblastoma Brain Cancer Cells af Ahmed Maklad, Mohammed Sedeeq, Kaveh Baghaei, Richard Wilson, John A. Heath, Nuri Gueven, Iman Azimi

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Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis af Rui Cao, Iman Azimi, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, Amir M Rahmani

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Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experim... af Johanna Saarikko, Anna Axelin, Emilia Huvinen, Amir M Rahmani, Iman Azimi, Miko Pasanen, Hannakaisa Niela-Vilén

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Loneliness and well-being in finnish immigrants: A multimodal dataset from wearables and passive data collectionDryad af Yuning Wang, Jennifer Auxier, Amayag Mark, Parisa Farzanehkari, Anna Axelin, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg

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Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation af Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani

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ZotCare: a flexible, personalizable, and affordable mhealth service provider af Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil Dutt, Nikil Dutt, Amir M. Rahmani, Amir M. Rahmani, Amir M. Rahmani

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Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life af Mohammad Feli, Iman Azimi, Fatemeh Sarhaddi, Zahra Sharifi-Heris, Hannakaisa Niela-Vilen, Pasi Liljeberg, Anna Axelin, Amir M. Rahmani

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Circadian rhythm of heart rate and heart rate variability in pregnancy af Mahkameh Rasouli, Mohammad Feli, Iman Azimi, Shahab Haghayegh, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani

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Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study af Salar Jafarlou, Jocelyn Lai, Iman Azimi, Zahra Mousavi, Sina Labbaf, Ramesh C Jain, Nikil Dutt, Jessica L Borelli, Amir Rahmani

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Comparative In Vitro Toxicology of Novel Cytoprotective Short-Chain Naphthoquinones af Zikai Feng, Mohammed Sedeeq, Abraham Daniel, Monika Corban, Krystel L. Woolley, Ryan Condie, Iman Azimi, Jason A. Smith, Nuri Gueven

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Correction: Lablab purpureus phytochemicals demonstrate potential anticancer activity as evidenced through experimental and computational analysis af Smitha S. Bhat, Sushma Jahagirdar, Chandan Dharmashekar, Chompunut Lumsangkul, Sarana Rose Sommano, Sheikh F. Ahmad, Haneen A. Al-Mazroua, Iman Azimi, Chandan Shivamallu, Shashanka K. Prasad

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Lablab purpureus phytochemicals demonstrate potential anticancer activity as evidenced through experimental and computational analysis af Smitha S. Bhat, Sushma Jahagirdar, Chandan Dharmashekar, Chompunut Lumsangkul, Sarana Rose Sommano, Sheikh F. Ahmad, Haneen A. Al-Mazroua, Iman Azimi, Chandan Shivamallu, Shashanka K. Prasad

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The Influence of Solvent Choice on the Extraction of Bioactive Compounds from Asteraceae: A Comparative Review af Ji-Eun Lee, Jayakodyge Thilini Madushani Jayakody, Jae-Il Kim, Jin-Woo Jeong, Kyung-Min Choi, Tae-Su Kim, Chan Seo, Iman Azimi, Ji-Min Hyun, Bo-Mi Ryu

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Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI af Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh Jain, Amir M. Rahmani

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Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study af Jessica L Borelli, Yuning Wang, Frances Haofei Li, Lyric N Russo, Marta Tironi, Ken Yamashita, Elayne Zhou, Jocelyn Lai, Brenda Nguyen, Iman Azimi, Christopher Marcotullio, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Amir Rahmani

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