Search

Your search keyword '"Balakrishnan, Dinesh"' showing total 13 results
Start Over Author "Balakrishnan, Dinesh" Publication Year Range This year
13 results on '"Balakrishnan, Dinesh"'

1. Co-relation of Portal Vein Tumour Thrombus Response With Survival Function Following Robotic Radiosurgery in Vascular Invasive Hepatocellular Carcinoma

Author

Dutta, Debnarayan, Yarlagadda, Sreenija, Kalavagunta, Sruthi, Nair, Haridas, Sasidharan, Ajay, Nimmya, Sathish Kumar, Kannan, Rajesh, George, Shibu, Edappattu, Annex, Haridas, Nikhil K., Jose, Wesley M., Keechilat, Pavithran, Valsan, Arun, Koshy, Anoop, Gopalakrishna, Rajesh, Sadasivan, Shine, Gopalakrishnan, Unnikrishnan, Balakrishnan, Dinesh, Sudheer, Othiyil Vayoth, and Surendran, Sudhindran

Published
2024
Full Text
View/download PDF

3. Randomized controlled trial of sustained release tacrolimus vs twice daily tacrolimus in adult living donor liver transplantation

Author

Venkatakrishnan, Guhan, Kathirvel, Manikandan, Sivasankara Pillai Thankamony Amma, Binoj, Muraleedharan, Abhijith K., Mathew, Johns S., Varghese, Christi T., Nair, Krishnanunni, Mallick, Shweta, Srinivasan D, Madhu, Gopalakrishnan, Unnikrishnan, Balakrishnan, Dinesh, Othiyil Vayoth, Sudheer, and Surendran, Sudhindran

Published
2024
Full Text
View/download PDF

4. OS-039 A placebo controlled, randomized, double blinded trial to evaluate the use of Tolvaptan for correction of hyponatremia in liver cirrhosis patients

Author

Mohamed, Zubair, primary, Valsan, Arun, additional, Malayil, George, additional, Paul, Anna, additional, Sudhindran, S, additional, Verma, Nipun, additional, Unnikrishnan, G, additional, Koshy, Anoop, additional, Balakrishnan, Dinesh, additional, Kumar, Lakshmi, additional, and Madathil, SaiBala, additional

Published
2024
Full Text
View/download PDF

5. An Information Retrieval Approach to Building Datasets for Hate Speech Detection

Author

Lease, Matthew, Balakrishnan, Dinesh, Kutlu, Mücahid, Murthy, Dhiraj, Rahman, Md Mustafizur, Lease, Matthew, Balakrishnan, Dinesh, Kutlu, Mücahid, Murthy, Dhiraj, and Rahman, Md Mustafizur

Abstract

Building a benchmark dataset for hate speech detection presents various challenges. Firstly, because hate speech is relatively rare, random sampling of tweets to annotate is very inefficient in finding hate speech. To address this, prior datasets often include only tweets matching known "hate words". However, restricting data to a pre-defined vocabulary may exclude portions of the real-world phenomenon we seek to model. A second challenge is that definitions of hate speech tend to be highly varying and subjective. Annotators having diverse prior notions of hate speech may not only disagree with one another but also struggle to conform to specified labeling guidelines. Our key insight is that the rarity and subjectivity of hate speech are akin to that of relevance in information retrieval (IR). This connection suggests that well-established methodologies for creating IR test collections can be usefully applied to create better benchmark datasets for hate speech. To intelligently and efficiently select which tweets to annotate, we apply standard IR techniques of {\em pooling} and {\em active learning}. To improve both consistency and value of annotations, we apply {\em task decomposition} and {\em annotator rationale} techniques. We share a new benchmark dataset for hate speech detection on Twitter that provides broader coverage of hate than prior datasets. We also show a dramatic drop in accuracy of existing detection models when tested on these broader forms of hate. Annotator rationales we collect not only justify labeling decisions but also enable future work opportunities for dual-supervision and/or explanation generation in modeling. Further details of our approach can be found in the supplementary materials.

Published
2024

13. A Short Review on Obeticholic Acid: An Effective Modulator of Farnesoid X Receptor.

Author

Narayanan AK, Surendran S, Balakrishnan D, Gopalakrishnan U, Malick S, Valsan A, Philips CA, and Watson CJE

Subjects
Humans, Animals, Bile Acids and Salts metabolism, Lipid Metabolism drug effects, Liver metabolism, Liver drug effects, Receptors, Cytoplasmic and Nuclear agonists, Receptors, Cytoplasmic and Nuclear metabolism, Receptors, Cytoplasmic and Nuclear drug effects, Chenodeoxycholic Acid analogs & derivatives, Chenodeoxycholic Acid pharmacology, Chenodeoxycholic Acid therapeutic use
Abstract

Farnesoid X receptor (FXR) was identified as an orphan nuclear receptor resembling the steroid receptor in the late '90s. Activation of FXR is a crucial step in many physiological functions of the liver. A vital role of FXR is impacting the amount of bile acids in the hepatocytes, which it performs by reducing bile acid synthesis, stimulating the bile salt export pump, and inhibiting its enterohepatic circulation, thus protecting the hepatocytes against the toxic accumulation of bile acids. Furthermore, FXR mediates bile acid biotransformation in the intestine, liver regeneration, glucose hemostasis, and lipid metabolism. In this review, we first discuss the mechanisms of the disparate pleiotropic actions of FXR agonists. We then delve into the pharmacokinetics of Obeticholic acid (OCA), the first-in-class selective, potent FXR agonist. We additionally discuss the clinical journey of OCA in humans, its current evidence in various human diseases, and its plausible roles in the future., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results