Results 71 to 80 of about 3,539,790 (303)

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

Machine learning-driven multi-omics for optimizing biotherapeutic production

Polson, Shawn W.Biotherapeutics, particularly monoclonal antibodies (mAbs) and recombinant adeno-associated viruses (rAAVs), have transformed the treatment landscape for various diseases.
Gurazada, Sai Guna Ranjan
core   +1 more source

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Visual analysis of multi-omics data

Frontiers in Bioinformatics
We present a tool for multi-omics data analysis that enables simultaneous visualization of up to four types of omics data on organism-scale metabolic network diagrams. The tool’s interactive web-based metabolic charts depict the metabolic reactions, pathways, and metabolites of a single organism as described in a metabolic pathway database for that ...
Austin Swart, Ron Caspi, Suzanne Paley, Peter D. Karp   +3 more
openaire   +3 more sources

Graph Contrastive Learning for Multi-omics Data [PDF]

, 2023
Advancements in technologies related to working with omics data require novel computation methods to fully leverage information and help develop a better understanding of human diseases.
Rajadhyaksha, Nishant, Chitkara, Aarushi
core   +1 more source

Bioinformatics databases and tools for analysis of multi-omics

The development of molecular biological techniques and omic research recently, especially sequencing, has led to a huge amount of omic data, including information on DNA, RNA, proteins, and metabolites.
Bui N.L., Chu D.-T., Ngo A.D., Pham C.A.
core   +1 more source

DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics

, 2023
Modern oncology offers a wide range of treatments and therefore choosing the best option for particular patient is very important for optimal outcome.
Lysenko, Artem, Boroevich, Keith A, Sharma, Alok, Tsunoda, Tatsuhiko   +3 more
core   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Technology for studying multi-omics

The transformation and advancements over the recent decade in technology have undoubtedly reshaped and revolutionized insight as well as the research methodology of the field of molecular biology or to be specific - omics studies.
Thanh T.P., Thi Y.-V.N., Chu D.-T.
core   +1 more source

Targeting CD300a Signaling With a Phosphatidylserine‐Presenting Hydrogel Rescues Macrophage Dysfunction and Accelerates Diabetic Wound Healing

Advanced Healthcare Materials, EarlyView.
Schematic illustration of the proposed mechanism: PEG/RGD‐PSLs mimic apoptotic cells to engage PS receptors (notably CD300a), transducing an inhibitory signal that suppresses the MyD88/NF‐κB pathway, leading to global anti‐inflammatory and pro‐reparative effects.
Lele Wu, Xuetong Hao, Yang Zou, Xinglin Chen, Junyan Kong, Chunning Gu, Wenjie Ma, Zhongjun Yang, Huifen Liu, Mengmeng Liu, Xin Tong   +10 more
wiley   +1 more source