Automatic detection of Cryptosporidium in optical microscopy images Using YOLOv5x: A comparative study
Biochem Cell Biol. 2023 Aug 16. doi: 10.1139/bcb-2023-0059. Online ahead of print.ABSTRACTHere, a machine learning tool (YOLOv5) enables the detection of Cryptosporidium microorganisms using optical and phase contrast microscope images. The two databases were processed using 520 images (optical microscopy) and 1200 images (phase contrast microscopy). It used Python libraries to label, standardize the size, and crop the images to generate the input tensors to the YOLOv5 network (s, m, and l). It implemented two experiments using randomly initialized weights in optical and phase contrast microscope images. The other two expe...
Source: Biochemistry and Cell Biology - August 16, 2023 Category: Biochemistry Authors: Johan Sebastian Lopez Salguero Melissa Rodr íguez Rendón Jessica Trivi ño Valencia Jorge Andr és Cuellar Gil Carlos Andr és Naranjo Galvis Oscar Moscoso Londo ño C ésar Leandro Londoño Calderón Fabio Augusto Gonz áles Osorio Reinel Tabares Soto Source Type: research
Automatic detection of Cryptosporidium in optical microscopy images Using YOLOv5x: A comparative study
Biochem Cell Biol. 2023 Aug 16. doi: 10.1139/bcb-2023-0059. Online ahead of print.ABSTRACTHere, a machine learning tool (YOLOv5) enables the detection of Cryptosporidium microorganisms using optical and phase contrast microscope images. The two databases were processed using 520 images (optical microscopy) and 1200 images (phase contrast microscopy). It used Python libraries to label, standardize the size, and crop the images to generate the input tensors to the YOLOv5 network (s, m, and l). It implemented two experiments using randomly initialized weights in optical and phase contrast microscope images. The other two expe...
Source: Biochemistry and Cell Biology - August 16, 2023 Category: Biochemistry Authors: Johan Sebastian Lopez Salguero Melissa Rodr íguez Rendón Jessica Trivi ño Valencia Jorge Andr és Cuellar Gil Carlos Andr és Naranjo Galvis Oscar Moscoso Londo ño C ésar Leandro Londoño Calderón Fabio Augusto Gonz áles Osorio Reinel Tabares Soto Source Type: research
LncRNAs: the good, the bad, and the unknown
Biochem Cell Biol. 2023 Aug 14. doi: 10.1139/bcb-2023-0155. Online ahead of print.ABSTRACTLong non-coding RNAs (lncRNAs) are significant contributors in maintaining genomic integrity through epigenetic regulation. LncRNAs can interact with chromatin-modifying complexes in both cis and trans pathways, drawing them to specific genomic loci and influencing gene expression via DNA methylation, histone modifications, and chromatin remodeling. They can also operate as building blocks to assemble different chromatin-modifying components, facilitating their interactions and gene regulatory functions. Deregulation of these molecule...
Source: Biochemistry and Cell Biology - August 14, 2023 Category: Biochemistry Authors: Ganesan Arunkumar Source Type: research
LncRNAs: the good, the bad, and the unknown
Biochem Cell Biol. 2023 Aug 14. doi: 10.1139/bcb-2023-0155. Online ahead of print.ABSTRACTLong non-coding RNAs (lncRNAs) are significant contributors in maintaining genomic integrity through epigenetic regulation. LncRNAs can interact with chromatin-modifying complexes in both cis and trans pathways, drawing them to specific genomic loci and influencing gene expression via DNA methylation, histone modifications, and chromatin remodeling. They can also operate as building blocks to assemble different chromatin-modifying components, facilitating their interactions and gene regulatory functions. Deregulation of these molecule...
Source: Biochemistry and Cell Biology - August 14, 2023 Category: Biochemistry Authors: Ganesan Arunkumar Source Type: research
Modulating the immune system as a therapeutic target for myelodysplastic syndromes and acute myeloid leukemia
Biochem Cell Biol. 2023 Aug 11. doi: 10.1139/bcb-2022-0374. Online ahead of print.ABSTRACTModulating the immune system to treat diseases, including myeloid malignancies, has resulted in the development of a multitude of novel therapeutics in recent years. Myelodysplastic syndromes or neoplasms (MDS) and acute myeloid leukemia (AML) are hematologic malignancies that arise from defects in hematopoietic stem and progenitor cells (HSPCs). Dysregulated immune responses, especially in innate immune and inflammatory pathways, are highly associated with the acquisition of HSPC defects in MDS and AML pathogenesis. In addition to ut...
Source: Biochemistry and Cell Biology - August 11, 2023 Category: Biochemistry Authors: Caroline M Putnam Lahari Kondeti Meredith B A Kesler Melinda E Varney Source Type: research
Modulating the immune system as a therapeutic target for myelodysplastic syndromes and acute myeloid leukemia
Biochem Cell Biol. 2023 Aug 11. doi: 10.1139/bcb-2022-0374. Online ahead of print.ABSTRACTModulating the immune system to treat diseases, including myeloid malignancies, has resulted in the development of a multitude of novel therapeutics in recent years. Myelodysplastic syndromes or neoplasms (MDS) and acute myeloid leukemia (AML) are hematologic malignancies that arise from defects in hematopoietic stem and progenitor cells (HSPCs). Dysregulated immune responses, especially in innate immune and inflammatory pathways, are highly associated with the acquisition of HSPC defects in MDS and AML pathogenesis. In addition to ut...
Source: Biochemistry and Cell Biology - August 11, 2023 Category: Biochemistry Authors: Caroline M Putnam Lahari Kondeti Meredith B A Kesler Melinda E Varney Source Type: research
Modulating the immune system as a therapeutic target for myelodysplastic syndromes and acute myeloid leukemia
Biochem Cell Biol. 2023 Aug 11. doi: 10.1139/bcb-2022-0374. Online ahead of print.ABSTRACTModulating the immune system to treat diseases, including myeloid malignancies, has resulted in the development of a multitude of novel therapeutics in recent years. Myelodysplastic syndromes or neoplasms (MDS) and acute myeloid leukemia (AML) are hematologic malignancies that arise from defects in hematopoietic stem and progenitor cells (HSPCs). Dysregulated immune responses, especially in innate immune and inflammatory pathways, are highly associated with the acquisition of HSPC defects in MDS and AML pathogenesis. In addition to ut...
Source: Biochemistry and Cell Biology - August 11, 2023 Category: Biochemistry Authors: Caroline M Putnam Lahari Kondeti Meredith B A Kesler Melinda E Varney Source Type: research
Modulating the immune system as a therapeutic target for myelodysplastic syndromes and acute myeloid leukemia
Biochem Cell Biol. 2023 Aug 11. doi: 10.1139/bcb-2022-0374. Online ahead of print.ABSTRACTModulating the immune system to treat diseases, including myeloid malignancies, has resulted in the development of a multitude of novel therapeutics in recent years. Myelodysplastic syndromes or neoplasms (MDS) and acute myeloid leukemia (AML) are hematologic malignancies that arise from defects in hematopoietic stem and progenitor cells (HSPCs). Dysregulated immune responses, especially in innate immune and inflammatory pathways, are highly associated with the acquisition of HSPC defects in MDS and AML pathogenesis. In addition to ut...
Source: Biochemistry and Cell Biology - August 11, 2023 Category: Biochemistry Authors: Caroline M Putnam Lahari Kondeti Meredith B A Kesler Melinda E Varney Source Type: research
Attention Based Deep Learning Framework to Recognize Diabetes Disease From Cellular Retinal Images
Biochem Cell Biol. 2023 Jul 20. doi: 10.1139/bcb-2023-0151. Online ahead of print.ABSTRACTA medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Globally many people visually impaired and blind due to diabetic retinopathy. The primary cause of DR in diabetic patients is high blood sugar and it affects blood vessels available in the retinal cell. The recent advancement in deep learning and computer vision methods, and its automation applications able to recognize present of DR in retinal cells and vessel images. Authors have proposed Attention-based hybrid model to extract features. P...
Source: Biochemistry and Cell Biology - July 20, 2023 Category: Biochemistry Authors: Deep Kothadiya Amjad Rehman Sidra Abbas Faten S Alamri Tanzila Saba Source Type: research
Attention Based Deep Learning Framework to Recognize Diabetes Disease From Cellular Retinal Images
Biochem Cell Biol. 2023 Jul 20. doi: 10.1139/bcb-2023-0151. Online ahead of print.ABSTRACTA medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Globally many people visually impaired and blind due to diabetic retinopathy. The primary cause of DR in diabetic patients is high blood sugar and it affects blood vessels available in the retinal cell. The recent advancement in deep learning and computer vision methods, and its automation applications able to recognize present of DR in retinal cells and vessel images. Authors have proposed Attention-based hybrid model to extract features. P...
Source: Biochemistry and Cell Biology - July 20, 2023 Category: Biochemistry Authors: Deep Kothadiya Amjad Rehman Sidra Abbas Faten S Alamri Tanzila Saba Source Type: research
Attention Based Deep Learning Framework to Recognize Diabetes Disease From Cellular Retinal Images
Biochem Cell Biol. 2023 Jul 20. doi: 10.1139/bcb-2023-0151. Online ahead of print.ABSTRACTA medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Globally many people visually impaired and blind due to diabetic retinopathy. The primary cause of DR in diabetic patients is high blood sugar and it affects blood vessels available in the retinal cell. The recent advancement in deep learning and computer vision methods, and its automation applications able to recognize present of DR in retinal cells and vessel images. Authors have proposed Attention-based hybrid model to extract features. P...
Source: Biochemistry and Cell Biology - July 20, 2023 Category: Biochemistry Authors: Deep Kothadiya Amjad Rehman Sidra Abbas Faten S Alamri Tanzila Saba Source Type: research
Attention Based Deep Learning Framework to Recognize Diabetes Disease From Cellular Retinal Images
Biochem Cell Biol. 2023 Jul 20. doi: 10.1139/bcb-2023-0151. Online ahead of print.ABSTRACTA medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Globally many people visually impaired and blind due to diabetic retinopathy. The primary cause of DR in diabetic patients is high blood sugar and it affects blood vessels available in the retinal cell. The recent advancement in deep learning and computer vision methods, and its automation applications able to recognize present of DR in retinal cells and vessel images. Authors have proposed Attention-based hybrid model to extract features. P...
Source: Biochemistry and Cell Biology - July 20, 2023 Category: Biochemistry Authors: Deep Kothadiya Amjad Rehman Sidra Abbas Faten S Alamri Tanzila Saba Source Type: research
Attention Based Deep Learning Framework to Recognize Diabetes Disease From Cellular Retinal Images
Biochem Cell Biol. 2023 Jul 20. doi: 10.1139/bcb-2023-0151. Online ahead of print.ABSTRACTA medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Globally many people visually impaired and blind due to diabetic retinopathy. The primary cause of DR in diabetic patients is high blood sugar and it affects blood vessels available in the retinal cell. The recent advancement in deep learning and computer vision methods, and its automation applications able to recognize present of DR in retinal cells and vessel images. Authors have proposed Attention-based hybrid model to extract features. P...
Source: Biochemistry and Cell Biology - July 20, 2023 Category: Biochemistry Authors: Deep Kothadiya Amjad Rehman Sidra Abbas Faten S Alamri Tanzila Saba Source Type: research
Attention Based Deep Learning Framework to Recognize Diabetes Disease From Cellular Retinal Images
Biochem Cell Biol. 2023 Jul 20. doi: 10.1139/bcb-2023-0151. Online ahead of print.ABSTRACTA medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Globally many people visually impaired and blind due to diabetic retinopathy. The primary cause of DR in diabetic patients is high blood sugar and it affects blood vessels available in the retinal cell. The recent advancement in deep learning and computer vision methods, and its automation applications able to recognize present of DR in retinal cells and vessel images. Authors have proposed Attention-based hybrid model to extract features. P...
Source: Biochemistry and Cell Biology - July 20, 2023 Category: Biochemistry Authors: Deep Kothadiya Amjad Rehman Sidra Abbas Faten S Alamri Tanzila Saba Source Type: research
Attention Based Deep Learning Framework to Recognize Diabetes Disease From Cellular Retinal Images
Biochem Cell Biol. 2023 Jul 20. doi: 10.1139/bcb-2023-0151. Online ahead of print.ABSTRACTA medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Globally many people visually impaired and blind due to diabetic retinopathy. The primary cause of DR in diabetic patients is high blood sugar and it affects blood vessels available in the retinal cell. The recent advancement in deep learning and computer vision methods, and its automation applications able to recognize present of DR in retinal cells and vessel images. Authors have proposed Attention-based hybrid model to extract features. P...
Source: Biochemistry and Cell Biology - July 20, 2023 Category: Biochemistry Authors: Deep Kothadiya Amjad Rehman Sidra Abbas Faten S Alamri Tanzila Saba Source Type: research
