Transformative potential of AI in Healthcare: definitions, applications, and navigating the ethical Landscape and Public perspectives
Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …
Management of chronic myeloid leukaemia: current treatment options, challenges, and future strategies
Small molecule therapy is a critical component of targeted anticancer treatment, with
tyrosine kinase inhibitors (TKIs) being the first compounds to treat the clonal Chronic …
tyrosine kinase inhibitors (TKIs) being the first compounds to treat the clonal Chronic …
Precision medicine activities and opportunities for sha** maternal and neonatal health in Qatar
N Al-Dewik, T Abuarja, S Younes… - Personalized …, 2024 - Taylor & Francis
Precision Medicine (PM) is a transformative clinical medicine strategy that aims to
revolutionize healthcare by leveraging biological information and biomarkers. In the context …
revolutionize healthcare by leveraging biological information and biomarkers. In the context …
Maternal and neonatal risks and outcomes after bariatric surgery: a comparative population based study across BMI categories in Qatar
Abstract The impact of Bariatric Surgery (BS) on maternal and neonatal outcomes among
pregnant women is not fully understood, especially in comparison to different weight …
pregnant women is not fully understood, especially in comparison to different weight …
Studying carrier frequency of spinal muscular atrophy in the State of Qatar and comparison to other ethnic groups: Pilot study
Background Spinal muscular atrophy (SMA) is an autosomal recessive disease caused by
mutations and deletions in SMN1 at exon 7. The carrier frequency for SMN1 mutations …
mutations and deletions in SMN1 at exon 7. The carrier frequency for SMN1 mutations …
[HTML][HTML] Artificial intelligence for breast cancer detection and its health technology assessment: A sco** review
Background: Recent healthcare advancements highlight the potential of Artificial Intelligence
(AI)-and especially, among its subfields, Machine Learning (ML)-in enhancing Breast …
(AI)-and especially, among its subfields, Machine Learning (ML)-in enhancing Breast …
Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar
D Al‐Sharshani, D Velayutham… - … Genetics & Genomic …, 2023 - Wiley Online Library
Background Dyslipidemia is recognized as one of the risk factors of cardiovascular diseases
(CVDs), type 2 diabetes mellitus (T2DM), and non‐alcoholic fatty liver disease (NAFLD) …
(CVDs), type 2 diabetes mellitus (T2DM), and non‐alcoholic fatty liver disease (NAFLD) …
Advancing Data Science Using AI-Driven Processes
MJ Pasha, K Gaurav, AK Bhanja… - … on Power Energy …, 2023 - ieeexplore.ieee.org
Advances in AI-pushed facts technological know-how can be seen in an expansion of
different regions. Examples of those consist of herbal Language Processing (NLP), machine …
different regions. Examples of those consist of herbal Language Processing (NLP), machine …
Improving sepsis classification performance with artificial intelligence algorithms: A comprehensive overview of healthcare applications
Purpose This study investigates the potential of machine learning (ML) algorithms in
improving sepsis diagnosis and prediction, focusing on their relevance in healthcare …
improving sepsis diagnosis and prediction, focusing on their relevance in healthcare …
Current Technologies and Future Perspectives in Immunotherapy towards a Clinical Oncology Approach
S Adhikary, S Pathak, V Palani, A Acar, A Banerjee… - Biomedicines, 2024 - mdpi.com
Immunotherapy is now established as a potent therapeutic paradigm engendering antitumor
immune response against a wide range of malignancies and other diseases by modulating …
immune response against a wide range of malignancies and other diseases by modulating …