Publications by authors named "K S Raman"

The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.

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Introduction: Homelessness embodies a prevalent societal issue that results in extensive socio-economic ramifications. Residential rehabilitation establishments, including shelters and mental health facilities, offer essential assistance to individuals with insecure housing situations. The healthcare providers within these facilities struggle to effectively tackle the underlying issues faced by homeless individuals, often due to a variety of socio-economic factors.

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Background: Homelessness is a deeply ingrained aspect of our culture. It has a detrimental influence on people of all ages' physical and mental well-being, child development, academic success and the establishment and upkeep of families. Homelessness and mental illness have a reciprocal relationship that makes them two interrelated social issues that affect people's ability to function and communities all over the world.

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Breast cancer care requires both oncologists and plastic surgeons. Coordinating these specialists and combining extirpative and reconstructive procedures before adjunctive therapies can cause delays in care. For patients with less advanced disease, surgery is performed before adjunctive therapies, requiring early specialist coordination and the possibility of surgical complications.

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Unlabelled: During microbial surveillance of the Mars 2020 spacecraft assembly facility, two novel bacterial strains, potentially capable of producing lasso peptides, were identified. Characterization using a polyphasic taxonomic approach, whole-genome sequencing and phylogenomic analyses revealed a close genetic relationship among two strains from Mars 2020 cleanroom floors (179-C4-2-HS, 179-J1A1-HS), one strain from the Agave plant (AT2.8), and another strain from wheat-associated soil (V4I25).

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