Gaurav Verma
Biographic Data
| ID | 4034894 |
|---|---|
| NAME | Gaurav Verma |
| GIVEN NAMES | Gaurav |
| FAMILY NAME | Verma |
| SIGNATURE | VERMA G |
| AFFILIATIONS | Icahn School of Medicine at Mount Sinai |
| ORCID | 0000-0002-1393-1053 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Machine learning framework for depression subtype grouping
Introduction Major depressive disorder (MDD) affects approximately one in six individuals over their lifetime, with many patients experiencing treatment-resistant depression, characterized by inadequate or insufficient response from at least one antidepressant treatment. Current classification strategies for depression rely primarily on clinical assessment of symptom severity, which are prone to reader bias and test-retest variability. Moreover, …
Conservation agriculture practices for improving productivity and soil health in maize–wheat systems under Indian conditions
Achieving sustainable development in agri-food production systems requires integrated strategies that boost productivity while preserving soil and environmental health. This study examined the conservation agriculture (CA) practices (tillage, crop residue management, and phosphorus fertilization) on the performance of a maize–wheat (M-W) system in India. A two-year field experiment involving fifteen treatment combinations was conducted. The resul…
Large-scale text analysis using generative language models
We put forward a novel approach using a generative language model (GPT-4) to produce labels and rationales for large-scale text analysis. The approach is used to discover public value expressions in patents. Using text (5.4 million sentences) for 154,934 US AI patent documents from the United States Patent and Trademark Office (USPTO), we design a semi-automated, human-supervised framework for identifying and labeling public value expressions in …
Stress-related reduction of hippocampal subfield volumes in major depressive disorder
Determining biomarkers for MDD and TRD pathophysiology through segmentation on high-resolution MRI data and understanding the effects of stress on these regions can enable better assessment of biological response to treatment selection and may elucidate the underlying mechanisms of depression
Anti-cancerous medications and PTEN treatment modalities for the control of endometrial malignancy
Endometrial most tumors still up in the air to emerge at Post menopause but at this point its miles been apparent pre-menopause. Unsettling influence in estrogen and progesterone degrees alters the monthly cycle in a regenerative framework. Growing out of and the crazy blast of uterus linage reasons the development of thick covering onto the parts of the uterus which reasons unbalanced draining and distinctive hormonal aggravation incurring most …
Antiprotozoal activities of traditional medicinal plants from the Garhwal region of North West Himalaya, India
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Antiprotozoal activities of traditional medicinal plants from the Garhwal region of North West Himalaya, India
Anti-cancerous medications and PTEN treatment modalities for the control of endometrial malignancy
Endometrial most tumors still up in the air to emerge at Post menopause but at this point its miles been apparent pre-menopause. Unsettling influence in estrogen and progesterone degrees alters the monthly cycle in a regenerative framework. Growing out of and the crazy blast of uterus linage reasons the development of thick covering onto the parts of the uterus which reasons unbalanced draining and distinctive hormonal aggravation incurring most …
Stress-related reduction of hippocampal subfield volumes in major depressive disorder
Determining biomarkers for MDD and TRD pathophysiology through segmentation on high-resolution MRI data and understanding the effects of stress on these regions can enable better assessment of biological response to treatment selection and may elucidate the underlying mechanisms of depression
Large-scale text analysis using generative language models
We put forward a novel approach using a generative language model (GPT-4) to produce labels and rationales for large-scale text analysis. The approach is used to discover public value expressions in patents. Using text (5.4 million sentences) for 154,934 US AI patent documents from the United States Patent and Trademark Office (USPTO), we design a semi-automated, human-supervised framework for identifying and labeling public value expressions in …
Conservation agriculture practices for improving productivity and soil health in maize–wheat systems under Indian conditions
Achieving sustainable development in agri-food production systems requires integrated strategies that boost productivity while preserving soil and environmental health. This study examined the conservation agriculture (CA) practices (tillage, crop residue management, and phosphorus fertilization) on the performance of a maize–wheat (M-W) system in India. A two-year field experiment involving fifteen treatment combinations was conducted. The resul…
Machine learning framework for depression subtype grouping
Introduction Major depressive disorder (MDD) affects approximately one in six individuals over their lifetime, with many patients experiencing treatment-resistant depression, characterized by inadequate or insufficient response from at least one antidepressant treatment. Current classification strategies for depression rely primarily on clinical assessment of symptom severity, which are prone to reader bias and test-retest variability. Moreover, …
Medicine (3 works) · Major depressive disorder (2 works) · Treatment of Major Depression (2 works) · Agricultural Science and Fertilization (1 works) · Amastigote (1 works) · Antiprotozoal (1 works) · Artificial Intelligence (1 works) · Biochemistry (1 works) · Biology (1 works) · Cancer (1 works)