Publications by authors named "A U Deshpande"

Background: Triple-negative breast cancer (TNBC) is a subtype of breast cancer clinically defined as lacking expression of Estrogen receptor (ER), Progesterone receptor (PR), and Human Epidermal growth factor Receptor (HER2). Psychological distress is a major risk factor of TNBC, patients diagnosed with TNBC are under tremendous stress due to the aggressive nature of the disease. Stress hormones decrease the efficacy of therapeutics.

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Introduction: Male breast cancer (MBC) is an uncommon malignancy. In spite of conventional Allopathic treatment, long-term disease-free survival (DFS) of more than 10 years in MBC is rare, due to its aggressive nature.

Case Presentation: We report a case of 56 years old, stage IIB and grade III invasive ductal cell carcinoma MBC (Lt) patient, operated for left modified radical mastectomy with axillary clearance followed by six cycles of chemotherapy during October 2010-January 2011.

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Background: Preventive dental procedures are cornerstones of caries management.

Introduction: This research aims to analyze the clinical effectiveness of pit and fissure sealants when applied to etched enamel pretreated with solvents compared to the conventional etch and seal technique.

Subjects And Methods: Children and adolescents with clinically healthy occlusal surfaces or noncavitated occlusal carious lesions on permanent first and/or second molars in all four quadrants were randomly allocated into four groups.

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Designing binders to target undruggable proteins presents a formidable challenge in drug discovery. In this work, we provide an algorithmic framework to design short, target-binding linear peptides, requiring only the amino acid sequence of the target protein. To do this, we propose a process to generate naturalistic peptide candidates through Gaussian perturbation of the peptidic latent space of the ESM-2 protein language model and subsequently screen these novel sequences for target-selective interaction activity via a contrastive language-image pretraining (CLIP)-based contrastive learning architecture.

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Importance: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease and is projected to become the leading indication for liver transplant (LT) in the US. Understanding its clinical burden can help to identify opportunities for prevention and treatment.

Objective: To project the burden of MASLD in US adults from 2020 to 2050.

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