A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach.

Lymphomas, or cancers of the lymphatic system, account for around half of all blood cancers diagnosed each year. Lymphoma is a condition that is difficult to diagnose, and accurate diagnosis is critical for effective treatment. Manual microscopic analysis of blood cells requires the involvement of medical experts, whose precision is dependent on their abilities, and it takes time.

Localization and recognition of leukocytes in peripheral blood: A deep learning approach.

Automatic recognition and classification of leukocytes helps medical practitioners to diagnose various blood-related diseases by analysing their percentages. Different researchers have come up with different algorithms that use traditional learning for the classification of different types of leukocytes. In contrast to traditional learning, in which no knowledge is retained that can be transferred from one model to another, our proposed algorithm uses deep learning approach for segmentation and classification.

Complication rates of phacoemulsification and manual small-incision cataract surgery at Aravind Eye Hospital.

Purpose: To analyze the rate of intraoperative complications, reoperations, and endophthalmitis with phacoemulsification, manual small-incision cataract surgery (SICS), and large-incision extracapsular cataract extraction (ECCE).

Setting: Aravind Eye Hospital, Madurai, India.

Design: Retrospective cohort study.

Identification of different subtypes of breast cancer using tissue microarray.

Breast cancer may be classified into luminal A, luminal B, HER2+/ER-, basal-like and normal-like subtypes based on gene expression profiling or immunohistochemical (IHC) characteristics. The main aim of the present study was to classify breast cancer into molecular subtypes based on immunohistochemistry findings and correlate the subtypes with clinicopathological factors. Two hundred and seventeen primary breast carcinomas tumor tissues were immunostained for ER, PR, HER2, CK5/6, EGFR, CK8/18, p53 and Ki67 using tissue microarray technique.

Enhanced hypocholesterolemic effects of interesterified oils are mediated by upregulating LDL receptor and cholesterol 7-α- hydroxylase gene expression in rats.

The concentration of LDL cholesterol in plasma is strongly influenced by the amount and type of lipid in the diet. Our studies have shown that positional changes in the fatty acids in blended oil introduced using lipase-catalyzed interesterification differentially modulate circulating LDL levels in rats compared with those observed in rats given a physical blend of oils. To investigate the molecular basis of these differences, transcriptional profiling of genes involved in cholesterol homeostasis was studied after feeding rats with a semipurified diet containing 10% fat from native oils; coconut oil (CNO), rice bran oil (RBO), or sesame oil (SESO); blended (B); CNO+RBO(B) or CNO+SESO(B) and interesterified oil (I); CNO+RBO(I) or CNO+SESO(I) for 60 d.

Synthesis and anti-inflammatory activity of 2-substituted-((N, N-disubstituted)-1, 3-benzoxazole)-5-carboxamides.

A series of 2-substituted-((N, N-disubstituted)-1, 3-benzoxazole)-5-carboxamides derivatives were synthesized by the reaction of 2-substituted-5-carbomethoxy benzoxazole with different secondary amines. The newly synthesized compounds were characterized on the basis of spectral (FT-IR, 1H NMR, MS) & elemental analysis. All these compounds were screened for anti-inflammatory activity using carrageenan induced rat paw edema method.

Effect of feeding blended and interesterified vegetable oils on antioxidant enzymes in rats.

The present study was undertaken to evaluate the effect of feeding blended and interesterified oils prepared using coconut oil (CNO) with rice bran oil (RBO) or sesame oil (SESO), with a polyunsaturated/saturated (P/S) ratio of 0.8-1.0, on oxidative stress and endogenous antioxidant system.

Lowering of platelet aggregation and serum eicosanoid levels in rats fed with a diet containing coconut oil blends with rice bran oil or sesame oil.

The present investigation was undertaken to study the effects of feeding a diet containing blended and interesterified fat to rats on thrombotic parameters such as platelet aggregation and eicosanoid levels in blood serum. Male Wistar rats were fed with a diet containing 10% fat from native; coconut oil (CNO), rice bran oil (RBO), sesame oil (SESO), blended; (CNO+RBO blend (B), CNO+SESO(B), or interesterified oils; CNO+RBO interesterified (I), CNO+SESO(I) for a period of 60 days. Rats given a diet containing blended oil of CNO+RBO(B) or CNO+SESO(B) showed a decrease in rate of ADP induced aggregation of platelets by 34% and 30%, respectively, compared to those fed with CNO.

Hypolipidemic effect of oils with balanced amounts of fatty acids obtained by blending and interesterification of coconut oil with rice bran oil or sesame oil.

Blended oils comprising coconut oil (CNO) and rice bran oil (RBO) or sesame oil (SESO) with saturated fatty acid/monounsaturated fatty acid/polyunsaturated fatty acid at a ratio of 1:1:1 and polyunsaturated/saturated ratio of 0.8-1 enriched with nutraceuticals were prepared. Blended oils (B) were subjected to interesterification reaction using sn-1,3 specific Lipase from Rhizomucor miehei.