Prediction of Brain Cancer Occurrence and Risk Assessment of Brain Hemorrhage Using Hybrid Deep Learning Technique DOI

R Venkatesha Prasad,

Amit Saxena, Suman Laha

et al.

Cancer Investigation, Journal Year: 2024, Volume and Issue: 43(1), P. 80 - 102

Published: Dec. 4, 2024

The prediction of brain cancer occurrence and risk assessment hemorrhage using a hybrid deep learning (DL) technique is critical area research in medical imaging analysis. One prominent challenge this field the accurate identification classification tumors hemorrhages, which can significantly impact patient prognosis treatment planning. objectives study address levels associated with both cancers due to hemorrhage. A diverse dataset MRI CT scan images. Utilize Unsymmetrical Trimmed Median Filter Optics Clustering for noise removal while preserving edges details. Chan-Vese segmentation process refined segmentation. Brain detection Multi-Head Self-Attention Dilated Convolution Neural Network (MH-SA-DCNN) Efficient Net Model. MH-SA-DCNN This trains algorithm predict cancerous regions Further, implement Graph-Based Deep Model (G-DNN) capture spatial relationships factors from Cox regression model estimate over time fine-tune optimize model's parameters features Osprey optimization (OPA).

Language: Английский

Metronomic chemotherapy and drug repurposing: A paradigm shift in oncology DOI Creative Commons
Nusrat Jan,

Shazia Sofi,

Hina Qayoom

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e24670 - e24670

Published: Jan. 14, 2024

Cancer represents a significant global health and economic burden due to its high mortality rates. While effective in some instances, traditional chemotherapy often falls short of entirely eradicating various types cancer. It can cause severe side effects harm healthy cells. Two therapeutic approaches have risen the forefront address these limitations: metronomic (MCT) drug repurposing. Metronomic is an innovative approach that breaks from models. involves administration chemotherapeutic regimens at lower doses, without long drug-free intervals previously been hallmark such treatments. This method offers reduction improved disease management. Simultaneously, repurposing has gained considerable attraction cancer treatment. utilizing existing drugs, initially developed for other purposes, as potential The application known drugs new context accelerates timeline laboratory patient pre-existing safety dosage data. intersection two strategies gives rise novel named 'Metronomics.' encapsulates benefits both MCT repurposing, leading reduced toxicity, oral administration, quality life, accelerated clinical implementation, enhanced affordability. Numerous studies endorsed efficacy with tolerable effects, underlining Metronomics better management, particularly low- middle-income countries. review underscores applications specifically breast cancer, showcasing promising results pre-clinical studies. However, we acknowledge necessity additional investigations definitively establish role conjunction treatments comprehensive

Language: Английский

Citations

15
Phyto-therapeutics as anti-cancer agents in breast cancer: Pathway targeting and mechanistic elucidation DOI Creative Commons
Abdullah Almilaibary

Saudi Journal of Biological Sciences, Journal Year: 2024, Volume and Issue: 31(3), P. 103935 - 103935

Published: Jan. 21, 2024

Cancer of the breast is mainly prevalent class cancer in females diagnosed over globe. It also happens to be 2nd most reason cancer-related deaths among worldwide. Some common type's therapies for carcinoma involve radiation therapy, chemotherapy, and resection. Many studies are being conducted develop new therapeutic strategies better diagnosis cancer. An enormous number anticancer medications have been developed as a result growing understanding molecular pathways behind advancement Over past few decades, general survival rate has not greatly increased due usage chemically manufactured medications. Therefore, order increase effectiveness current treatments, tactics cutting-edge chemoprevention drugs required. Phytochemicals, which naturally occurring molecules derived from plants, important sources both therapy innovative medication development. These phytochemicals frequently work by controlling linked development spread Increasing antioxidant status, inactivating carcinogens, preventing proliferation, causing cell cycle arrest apoptosis, immune system control some specific ways. This primary objective this review provide an overview active ingredients found natural goods, including information on their pharmacologic action, targets, state knowledge. We given thorough description substances that specifically target study. We've great deal study compounds may help us identify novel targets detection carcinoma.

Language: Английский

Citations

5
The geranium genus: A comprehensive study on ethnomedicinal uses, phytochemical compounds, and pharmacological importance DOI Creative Commons
Bader Alshehri

Saudi Journal of Biological Sciences, Journal Year: 2024, Volume and Issue: 31(4), P. 103940 - 103940

Published: Jan. 28, 2024

The geranium genus consists of about 400 species, which have been utilized for a long time in ancient medical practices throughout the world. As result, herbal medications based on species are commonly to treat range illnesses. This investigation aims provide an extensive assessment literature phytochemistry, ethnomedicinal and pharmacological importance Geranium. Data were collected through systemic computer searches among most reputable scientific databases, Web Science, Google Scholar, Scopus. Occasionally, information published as peer-reviewed was added data from sources that these databases do not include. review includes all works end 2022. biological characteristics medicinal plant Geranium has received great deal attention, primarily last 20 years, tandem with growing interest remedies general. detailed systematic comparative analysis presented here provides valuable current species. It paves way other beneficial be studied fields ethnobotany, new drug discovery.

Language: Английский

Citations

4
Cytochrome c and Cancer Cell Metabolism: A New Perspective DOI Creative Commons
Asma Jan, Miss Shazia Sofi, Manzoor Ahmad Mir

et al.

Advances in Cancer Biology - Metastasis, Journal Year: 2025, Volume and Issue: unknown, P. 100134 - 100134

Published: Feb. 1, 2025

Language: Английский

Citations

0
Cytochrome c and cancer cell metabolism: A new perspective DOI Creative Commons

Bader Alshehri

Saudi Pharmaceutical Journal, Journal Year: 2024, Volume and Issue: 32(12), P. 102194 - 102194

Published: Nov. 1, 2024

Language: Английский

Citations

1
Prediction of Brain Cancer Occurrence and Risk Assessment of Brain Hemorrhage Using Hybrid Deep Learning Technique DOI

R Venkatesha Prasad,

Amit Saxena, Suman Laha

et al.

Cancer Investigation, Journal Year: 2024, Volume and Issue: 43(1), P. 80 - 102

Published: Dec. 4, 2024

The prediction of brain cancer occurrence and risk assessment hemorrhage using a hybrid deep learning (DL) technique is critical area research in medical imaging analysis. One prominent challenge this field the accurate identification classification tumors hemorrhages, which can significantly impact patient prognosis treatment planning. objectives study address levels associated with both cancers due to hemorrhage. A diverse dataset MRI CT scan images. Utilize Unsymmetrical Trimmed Median Filter Optics Clustering for noise removal while preserving edges details. Chan-Vese segmentation process refined segmentation. Brain detection Multi-Head Self-Attention Dilated Convolution Neural Network (MH-SA-DCNN) Efficient Net Model. MH-SA-DCNN This trains algorithm predict cancerous regions Further, implement Graph-Based Deep Model (G-DNN) capture spatial relationships factors from Cox regression model estimate over time fine-tune optimize model's parameters features Osprey optimization (OPA).

Language: Английский

Citations

1