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124 citation(s) found for "Arunachalam, S P".

Towards Real-Time Monitoring of Thermal Ablation Lesions in Liver Using Microwave Imaging
Gaddam, Sunil , Samaddar, Poulami , Gopalakrishnan, Keerthy, Damani, Devanshi N. , Shivaram, Suganti, Mitra, Dipankar , Arunachalam, S P , Dey, Shuvashis , Roy, Sayan , Arunachalam, Shivaram P.

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI) | September 7, 2023 | Volume: No volume available | Issue: No issue available | Pages: 1109-1110

10.1109/usnc-ursi52151.2023.10237995 Get It

Microwave Imaging Based Lesion Monitoring During Infarct Ablation: Feasibility Study
Gaddam, Sunil , Samaddar, Poulami , Gopalakrishnan, Keerthy, Aedma, Keirthana, Damani, Devanshi N. , Shivaram, Suganti, Mitra, Dipankar , Arunachalam, S P , Dey, Shuvashis , Roy, Sayan , Arunachalam, Shivaram P.

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI) | September 7, 2023 | Volume: No volume available | Issue: No issue available | Pages: 1393-1394

10.1109/usnc-ursi52151.2023.10237557 Get It

On the Pressure Sensing of Biological Fluids Using Microwaves
Gaddam, Sunil , Samaddar, Poulami , Gopalakrishnan, Keerthy, Damani, Devanshi N. , Shivaram, Suganti, Mitra, Dipankar , Arunachalam, S P , Dey, Shuvashis , Roy, Sayan , Arunachalam, Shivaram P.

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI) | September 7, 2023 | Volume: No volume available | Issue: No issue available | Pages: 175-176

10.1109/usnc-ursi52151.2023.10237799 Get It

The Impact of Microbiota on the Gut–Brain Axis: Examining the Complex Interplay and Implications
Chaudhry, Tuba Shahid, Senapati, Sidhartha Gautam , Gadam, Srikanth , Mannam, Hari Priya Sri Sai, Voruganti, Hima Varsha, Abbasi, Zainab , Abhinav, Tushar, Challa, Apurva B., Pallipamu, Namratha, Bheemisetty, Niharika , Arunachalam, Shivaram P. , Challa, Apurva Bhavana, Arunachalam, S P , Gadam, Srikanth

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Journal of Clinical Medicine | August 11, 2023 | Volume: 12 | Issue: 16 | Pages: 5231

10.3390/jcm12165231 | PMID 37629273 Get It

The association and interaction between the central nervous system (CNS) and enteric nervous system (ENS) is well established. Essentially ENS is the second brain, as we call it. We tried to understand the structure and function, to throw light on the functional aspect of neurons, and address various disease manifestations. We summarized how various neurological disorders influence the gut via the enteric nervous system and/or bring anatomical or physiological changes in the enteric nervous system or the gut and vice versa. It is known that stress has an effect on Gastrointestinal (GI) motility and causes mucosal erosions. In our literature review, we found that stress can also affect sensory perception in the central nervous system. Interestingly, we found that mutations in the neurohormone, serotonin (5-HT), would result in dysfunctional organ development and further affect mood and behavior. We focused on the developmental aspects of neurons and cognition and their relation to nutritional absorption via the gastrointestinal tract, the development of neurodegenerative disorders in relation to the alteration in gut microbiota, and contrariwise associations between CNS disorders and ENS. This paper further summarizes the synergetic relation between gastrointestinal and neuropsychological manifestations and emphasizes the need to include behavioral therapies in management plans.
Association of multiple sclerosis with chronic fatigue syndrome, restless legs syndrome, and various sleep disorders, along with the recent updates
Prajjwal, Priyadarshi , Kalluru, Pavan K.R., Marsool, Mohammed Dheyaa Marsool , Inban, Pugazhendi , Gadam, Srikanth , Al-Ezzi, Saud Muthanna Shakir, Marsool, Ali Dheyaa Marsool , Al‐Ibraheem, Abdullah Muataz Taha , Al-Tuaama, Abdullah Z.H., Amir, Omniat , Marsool, Mohammed Dheyaa , Arunachalam, Shivaram P. , Gadam, Srikanth , Kalluru, Pavan Kumar Reddy , Al-Tuaama, Abdullah Z.H., Hussin, Omniat Amir

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Annals of Medicine & Surgery | August 10, 2023 | Volume: 85 | Issue: 6 | Pages: 2821-2832

10.1097/ms9.0000000000000929 | PMID 37363482 Get It

Multiple sclerosis (MS) and myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) share the symptom of fatigue, and might even coexist together. Specifically focusing on genetics, pathophysiology, and neuroimaging data, the authors discuss an overview of the parallels, correlation, and differences in fatigue between MS and ME/CFS along with ME/CFS presence in MS. Studies have revealed that the prefrontal cortex and basal ganglia regions, which are involved in fatigue regulation, have similar neuroimaging findings in the brains of people with both MS and ME/CFS. Additionally, in both conditions, genetic factors have been implicated, with particular genes known to enhance susceptibility to MS and CFS. Management approaches for fatigue in MS and ME/CFS differ based on the underlying factors contributing to fatigue. The authors also focus on the recent updates and the relationship between MS and sleep disorders, including restless legs syndrome, focusing on pathophysiology and therapeutic approaches. Latest therapeutic approaches like supervised physical activity and moderate-intensity exercises have shown better outcomes.
Microwave-Based Dielectric Properties as an Electrophysiological Biomarker: Future Perspectives
Cherukuri, Akhila Sai Sree, Modi, Vaishnavi K., Baraskar, Bhavana , Sood, Shubham , Reguram, Reshma, Palvia, Divyanshi, Gopalakrishnan, Keerthy, Damani, Devanshi N. , Gaddam, Sunil , Samaddar, Poulami , Katukuri, Nishanth , Shivaram, Suganti, Dey, Shuvashis , Mitra, Dipankar , Roy, Sayan , Kulkarni, Kanchan , Arunachalam, Shivaram P. , Arunachalam, S P , Dey, Shuvashis , Roy, Sayan , Kulkarni, Kanchan , Damani, Devanshi , Linden, David R. , Beyder, Arthur

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Electronics | July 31, 2023 | Volume: 12 | Issue: 15 | Pages: 3276

10.3390/electronics12153276 Get It

Electrophysiology is the study of the electrical properties of biological tissues, which involves the movement of ions across cell membranes. The analysis of the movement of electrical charges through the body has a wide range of biomedical applications, such as diagnosing and planning treatment in cardiovascular, nervous systems, muscular, and gastrointestinal disorders. The dielectric properties of biological tissues change according to the water content in the tissue and are measured as permittivity and conductivity relative to the frequency of the electrical field. This principle has been applied in diagnostics and therapeutics using microwave energysuch as imaging and ablation, etc. This review article summarizes the potential use of measuring dielectric properties using microwave imaging and how it can augment electrophysiological studies in medicine.
Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing
Singh, Mansunderbir, Anvekar, Priyanka , Baraskar, Bhavana , Pallipamu, Namratha, Gadam, Srikanth , Cherukuri, Akhila Sai Sree, Damani, Devanshi N. , Kulkarni, Kanchan , Arunachalam, Shivaram P. , Arunachalam, S P , Kulkarni, Kanchan , Damani, Devanshi , Gadam, Srikanth

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Journal of Imaging | July 26, 2023 | Volume: 9 | Issue: 8 | Pages: 149

10.3390/jimaging9080149 | PMID 37623681 Get It

Pancreatic carcinoma (Ca Pancreas) is the third leading cause of cancer-related deaths in the world. The malignancies of the pancreas can be diagnosed with the help of various imaging modalities. An endoscopic ultrasound with a tissue biopsy is so far considered to be the gold standard in terms of the detection of Ca Pancreas, especially for lesions <2 mm. However, other methods, like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), are also conventionally used. Moreover, newer techniques, like proteomics, radiomics, metabolomics, and artificial intelligence (AI), are slowly being introduced for diagnosing pancreatic cancer. Regardless, it is still a challenge to diagnose pancreatic carcinoma non-invasively at an early stage due to its delayed presentation. Similarly, this also makes it difficult to demonstrate an association between Ca Pancreas and other vital organs of the body, such as the heart. A number of studies have proven a correlation between the heart and pancreatic cancer. The tumor of the pancreas affects the heart at the physiological, as well as the molecular, level. An overexpression of the SMAD4 gene; a disruption in biomolecules, such as IGF, MAPK, and ApoE; and increased CA19-9 markers are a few of the many factors that are noted to affect cardiovascular systems with pancreatic malignancies. A comprehensive review of this correlation will aid researchers in conducting studies to help establish a definite relation between the two organs and discover ways to use it for the early detection of Ca Pancreas.
On the Diagnosis of Nonalcoholic Steatohepatitis Using Dielectric Properties: Feasibility in Mouse Model
Cherukuri, Akhila Sai Sree, Samaddar, Poulami , Carlos, Alejos Aguero, Gopalakrishnan, Keerthy, Gaddam, Sunil , Perez, Lucia T. Valenzuela, Lee, Hyun Se Kim , Mitra, Dipankar , Arunachalam, S P , Kim Lee, Hyun Se , Dey, Shuvashis , Roy, Sayan , Hirsova, Petra , Arunachalam, Shivaram P.

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2023 IEEE International Conference on Electro Information Technology (eIT) | July 25, 2023 | Volume: No volume available | Issue: No issue available | Pages: 649-654

10.1109/eit57321.2023.10187375 Get It

Endoscopic Image Enhanced Deep Learning Algorithm for Inflammatory Bowel Disease (IBD) Polyp Detection: Feasibility Study
Fetzer, Jeffrey , Redij, Renisha, Agarwal, Joshika, Rajagopal, Anjali , Gopalakrishnan, Keerthy, Cherukuri, Akhila Sai Sree, League, John, Leggett, Cadman L. , Nayantara, Coelho-Prabhu, Arunachalam, S P , Leggett, Cadman L , Vinsard, Daniela Guerrero , Arunachalam, Shivaram P.

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2023 IEEE International Conference on Electro Information Technology (eIT) | July 25, 2023 | Volume: No volume available | Issue: No issue available | Pages: 655-659

10.1109/eit57321.2023.10187234 Get It

Gastrointestinal Endoscopic Image Classification using a Novel Wavelet Decomposition Based Deep Learning Algorithm
Sethi, Ankita, Damani, Shivam, Sethi, Arshia , Rajagopal, Anjali , Gopalakrishnan, Keerthy, Cherukuri, Akhila Sai Sree, Arunachalam, S P , Arunachalam, Shivaram P.

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2023 IEEE International Conference on Electro Information Technology (eIT) | July 25, 2023 | Volume: No volume available | Issue: No issue available | Pages: 616-621

10.1109/eit57321.2023.10187226 Get It