International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 142136 - 142136
Published: March 1, 2025
Language: Английский
Procedia Computer Science, Journal Year: 2024, Volume and Issue: 235, P. 456 - 467
Published: Jan. 1, 2024
Recent strides in artificial intelligence (AI) and deep learning techniques have propelled the development of an AI-powered brain tumour detection model. This study blends multilevel thresholding, neural network optimisation, image preprocessing to craft a robust AI model capable accurately categorising diverse types normal cases. Through rigorous testing with comprehensive dataset 1747 images, achieves accuracy 92%. Its integration into user-friendly smartphone app, MediScan, enhances accessibility practicality. The app provides heatmap visualisations generates diagnostic reports, supporting medical professionals making swift decisions. prioritises interpretability enhancement has potential cultivate collaboration between experts practitioners, thus advancing field diagnosis. While promising, demands computational resources datasets. research also highlights AI's transform healthcare diagnostics, ensuring precise efficient identification.
Language: Английский
Citations
5
United European Gastroenterology Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 31, 2024
Abstract Various extrinsic and intrinsic factors such as drug exposures, antibiotic treatments, smoking, lifestyle, genetics, immune responses, the gut microbiome characterize ulcerative colitis Crohn's disease, collectively called inflammatory bowel disease (IBD). All these contribute to complexity heterogeneity of etiology pathogenesis leading major challenges for scientific community in improving management, medical genetic risk, exposome impact. Understanding interaction(s) among their effects on system IBD patients has prompted advances multi‐omics research, development new tools part biology, more recently, artificial intelligence (AI) approaches. These innovative approaches, supported by availability big data large volumes digital datasets, hold promise better understanding natural histories, predictors development, severity, complications treatment outcomes complex diseases, providing decision support doctors, promising bring us closer realization “precision medicine” paradigm. This review aims provide an overview current omics based both individual (genomics, transcriptomics, proteomics, metagenomics) levels, highlighting how AI can facilitate integration heterogeneous summarize our identify gaps knowledge inform upcoming research this field.
Language: Английский
Citations
5
International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(18), P. 10014 - 10014
Published: Sept. 17, 2024
The primary objective of omics in space with focus on the human organism is to characterize and quantify biological factors that alter structure, morphology, function, dynamics cells exposed microgravity. This review discusses exciting data regarding genomics, transcriptomics, epigenomics, metabolomics, proteomics individuals space, as well cultured under simulated NASA Twins Study significantly heightened interest applying technologies bioinformatics terrestrial environments. Here, we present available publications this field a specialized stem real microgravity conditions. We summarize current knowledge following topics: (i) studies cells, (ii) benign different cell types organism, (iii) discussing advantages for commercialization exploration, (iv) summarizing emerging opportunities translational regenerative medicine travelers patients Earth.
Language: Английский
Citations
5
Clinics in Dermatology, Journal Year: 2024, Volume and Issue: 42(3), P. 268 - 274
Published: Jan. 4, 2024
Language: Английский
Citations
4
Heliyon, Journal Year: 2024, Volume and Issue: 10(6), P. e27655 - e27655
Published: March 1, 2024
Cancer is a complex disease that caused by multiple genetic factors. Researchers have been studying protein domain mutations to understand how they affect the progression and treatment of cancer. These can significantly impact development spread cancer changing structure, function, signalling pathways. As result, there growing interest in these be used as prognostic indicators for prognosis. Recent studies shown provide valuable information about severity patient's response treatment. They may also predict resistance targeted therapy The clinical implications are significant, regarded essential biomarkers oncology. However, additional techniques approaches required characterize changes domains their functional effects. Machine learning other computational tools offer promising solutions this challenge, enabling prediction on structure function. Such predictions aid interpretation information. Furthermore, genome editing like CRISPR/Cas9 has made it possible validate significance mutants more efficiently accurately. In conclusion, hold great promise predictive Overall, considerable research still needed better define molecular heterogeneity resolve challenges remain, so full potential realized.
Language: Английский
Citations
4
International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 282, P. 137047 - 137047
Published: Nov. 1, 2024
Language: Английский
Citations
4
International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(24), P. 13302 - 13302
Published: Dec. 11, 2024
This review aims to address the significant challenges of treating central nervous system (CNS) disorders such as neurodegenerative diseases, strokes, spinal cord injuries, and brain tumors. These are difficult manage due complexity disease mechanisms protective blood–brain barrier (BBB), which restricts drug delivery. Recent advancements in nanoparticle (NP) technologies offer promising solutions, with potential applications delivery, neuroprotection, neuroregeneration. By examining current research, we explore how NPs can cross BBB, deliver medications directly targeted CNS regions, enhance both diagnostics treatment. Key NP strategies, passive targeting, receptor-mediated transport, stimuli-responsive systems, demonstrate encouraging results. Studies show that may improve minimize side effects, increase therapeutic effectiveness models Alzheimer’s, Parkinson’s, stroke, glioblastoma. thus represent a approach for disorder management, combining delivery diagnostic capabilities enable more precise effective treatments could significantly benefit patient outcomes.
Language: Английский
Citations
4
Egyptian Pediatric Association Gazette, Journal Year: 2025, Volume and Issue: 73(1)
Published: Jan. 7, 2025
Abstract Background Face2Gene (F2G) is a software program, widely used in clinical genetics and dysmorphology for recognizing children with genetic disorders. In order to assess its accuracy real context, we applied F2G patients from our counseling center. Results We randomly selected 151 children, who were referred because of dysmorphic features later diagnosed particular condition. A frontal photograph was uploaded the at least three phenotypic traits each case. Date birth, sex, weight, height, head circumference also entered software. The efficacy program correctly diagnose syndrome based on facial analysis and/or assessed. 56% (84 cases) patients, accurately identified correct diagnosis top suggestions. Forty-seven percent (71 had after applying only analysis. There statistically significant difference between two types analysis— p = 0.001. 19 cases where unable identify among options analysis, included 30 suggested syndromes, yielding total success rate 68%. found ultra-rare syndromes’ suggestions area six more cases. Conclusions Our results show that has good overall performance, but adding case under study may increase even further diagnostic capacity.
Language: Английский
Citations
0
Informatics in Medicine Unlocked, Journal Year: 2025, Volume and Issue: unknown, P. 101620 - 101620
Published: Jan. 1, 2025
Language: Английский
Citations
0
Clinical Epidemiology and Global Health, Journal Year: 2025, Volume and Issue: unknown, P. 101956 - 101956
Published: Feb. 1, 2025
Language: Английский
Citations
0