Results 101 to 110 of about 9,159 (181)

Genome‐Wide Association Study of Symptom Change Following Cognitive Behavioral Therapy for Common Mental Disorders

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, Volume 201, Issue 6, Page 396-405, September 2026.
ABSTRACT Cognitive behavioral therapy (CBT) is a well‐established, evidence‐based treatment for common mental disorders such as depression, anxiety disorders, and obsessive‐compulsive disorder (OCD). However, treatment outcomes vary widely, and a substantial proportion of patients do not achieve sufficient improvement.
Julia Bäckman, Olly Kravchenko, Matthew Halvorsen, Elles de Schipper, Ekaterina Ivanova, Viktor Kaldo, Nils Hentati Isacsson, Thorstein Olsen Eide, Kira D. Höffler, Manuel Mattheisen, Bjarne Hansen, Gerd Kvale, Kristen Hagen, Jan Haavik, David Mataix‐Cols, James J. Crowley, John Wallert, Christian Rück, Nordic OCD and Related Disorders Consortium (NORDiC), Julia Bäckman, Long‐Long Chen, James J. Crowley, Elles de Schipper, Diana Pascal, Jan Haavik, Kristen Hagen, Matthew W. Halvorsen, Bjarne Hansen, Kira D. Höffler, Fredrik Johansson, Anna K. Kähler, Elinor K. Karlsson, Gerd Kvale, Paul Lichtenstein, Kerstin Lindblad‐Toh, Manuel Mattheisen, David Mataix‐Cols, Kathleen Morrill, Christian Rück, Thorstein Olsen Eide, Nora I. Strom, John Wallert   +41 more
wiley   +1 more source

Editorial: Phenomics

Frontiers in Plant Science, 2018
Marcos Egea-Cortines, John H. Doonan
doaj   +1 more source

Foundation Models for Microbiome Research: From Sequence Semantics to Community Dynamics and Multimodal World Models

Advanced Genetics, Volume 7, Issue 3, September 2026.
Microbiome foundation models are framed as a multiscale route from sequence semantics to community ecology, multimodal alignment and future world models. By learning transferable representations across cohorts, habitats and perturbations, this roadmap highlights how microbiome AI can move beyond association‐driven analysis toward interpretable ...
Haohong Zhang, Zixin Kang, Kang Ning
wiley   +1 more source

Artificial intelligence driven diet‐intestinal microbiota‐host health integration: A four‐dimensional paradigm for advancing host wellness research

iMetaOmics, Volume 3, Issue 3, September 2026.
This graphical abstract presents a novel Diet‐Artificial Intelligence (AI)‐intestinal Microbiota–Host Health paradigm integrating microbiota‐centric pathways and an AI‐driven multi‐omics workflow. Diet shapes gut bacteria that regulate intestinal mucosal integrity, immune signaling, and gut–brain neurotransmitters to influence host health.
Tianle He, Shuobo Zhang, Jiaxin Chen, Xiaoling Zheng, Jixin Zhao, Huifeng Li, Jiani Mao, Ju Luo, Jundan Zheng, Dengjun Ma, Lihong Wang, Junhui Liu, Wen Tian, Shuangming Yang, Chengli Liu, Ke Tian, Zhenguo Yang   +16 more
wiley   +1 more source

From Single Cells to Diagnosis: Proteomics Technologies in the Multi‐Omics Landscape of Rare and Mitochondrial Diseases

Journal of Inherited Metabolic Disease, Volume 49, Issue 5, September 2026.
Wetzel et al. outline how individual omics methods contribute to the diagnosis of patients with rare, and particularly mitochondrial diseases, with a focus on how spatial proteomics is joining this multi‐omics stack. ABSTRACT Proteomics by mass spectrometry has rapidly matured from a niche method into a standard tool.
Simon Wetzel, Sebastian Porsdam Mann, Florian A. Rosenberger   +2 more
wiley   +1 more source

Genotype‐by‐Environment Interaction Influenced the Crude Protein and Total Amino Acid Content in Lentil Varieties

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Lentil (Lens culinaris Medik.) is a globally important grain legume valued for its high‐protein content and nutritional quality. However, the genetic and environmental factors influencing protein and amino acid composition, particularly the role of genotype × environment interaction (GEI), remain partially uncovered.
Alex Kumi Frimpong, Anastasiya Kuhalskaya, Lorenzo Rocchetti, Giacomo Conti, Asia Cicconi, Chiara Santamarina, Francesca Francioni, Benedetta Fanesi, Tania Gioia, Stefania Marzario, Alice Pieri, Giulia Frascarelli, Elisa Bellucci, Laura Nanni, Deborah Pacetti, Roberto Papa, Elena Bitocchi, Valerio Di Vittori   +17 more
wiley   +1 more source

Genomic Innovations in High‐Oil Soybean Breeding: Overcoming Yield Barriers and Climate Resilience Challenges

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Soybean (Glycine max L.) is the world's most important oilseed crop, supplying 25% of world‘s edible oil and 66% of feed protein. This review address genomic innovations to overcome yield constraints and climate vulnerability (especially drought stress) in high‐oil soybean breeding.
Mujeeb Ur Rehman, Muhammad Azam, Muhammad Ahsan, Azhar Iqbal, Lili Yu, Jhon Larzabal, Juan E. Rosas, Li‐Juan Qiu   +7 more
wiley   +1 more source

Advances in root phenotyping: high-throughput imaging, computational tools, and integrative approaches for crop improvement. [PDF]

J Exp Bot
Im G, Baek J, Kim J, Kim SL.
europepmc   +1 more source

Advancing Thermotolerance in Beans: Integrating Physiology, Genomics, and Breeding for Climate Adaptation

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Rising global temperatures increasingly threaten bean production and the food security of millions of people who depend on these protein‐rich legumes. Heat stress during the reproductive stages induces pollen sterility, flower abscission, and disruptions in source–sink relationships, resulting in yield losses of 30%–40% or more when critical ...
Aastha Sharda, Shikha Chaudhary, Bhawna Kumari, Uday C. Jha, Mohar Singh, Inderjit Singh, Kamal Dev Sharma, Kadambot H. M. Siddique, P. V. Vara Prasad, Harsh Nayyar   +9 more
wiley   +1 more source

Author Correction: Omics-driven plant breeding through phenomics-enviromics crosstalk. [PDF]

Nat Commun
Li H, Gao S, Gebrewahid TW, Li WX, Wang J, Han Z, Reynolds MP, Araus JL, Hearne S, Xu Y.   +9 more
europepmc   +1 more source