AIMC Topic: Computing Methodologies
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Quantum Computing in Medicine.
Medical sciences (Basel, Switzerland)
Nov 17, 2024
Quantum computing (QC) represents a paradigm shift in computational power, offering unique capabilities for addressing complex problems that are infeasible for classical computers. This review paper provides a detailed account of the current state of...
Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways.
BMC bioinformatics
Apr 12, 2024
BACKGROUND: Biomarker discovery is a challenging task due to the massive search space. Quantum computing and quantum Artificial Intelligence (quantum AI) can be used to address the computational problem of biomarker discovery from genetic data.
From genome to clinic: The power of translational bioinformatics in improving human health.
Advances in protein chemistry and structural biology
Feb 15, 2024
Translational bioinformatics (TBI) has transformed healthcare by providing personalized medicine and tailored treatment options by integrating genomic data and clinical information. In recent years, TBI has bridged the gap between genome and clinical...
Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR.
Nature reviews. Drug discovery
Dec 8, 2023
Quantitative structure-activity relationship (QSAR) modelling, an approach that was introduced 60 years ago, is widely used in computer-aided drug design. In recent years, progress in artificial intelligence techniques, such as deep learning, the rap...
Quantum computing and machine learning for Arabic language sentiment classification in social media.
Scientific reports
Oct 12, 2023
With the increasing amount of digital data generated by Arabic speakers, the need for effective and efficient document classification techniques is more important than ever. In recent years, both quantum computing and machine learning have shown grea...
Quantum computing for near-term applications in generative chemistry and drug discovery.
Drug discovery today
Jun 16, 2023
In recent years, drug discovery and life sciences have been revolutionized with machine learning and artificial intelligence (AI) methods. Quantum computing is touted to be the next most significant leap in technology; one of the main early practical...
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry.
Journal of chemical information and modeling
May 12, 2023
De novo drug design with desired biological activities is crucial for developing novel therapeutics for patients. The drug development process is time- and resource-consuming, and it has a low probability of success. Recent advances in machine learni...
Fostering discoveries in the era of exascale computing: How the next generation of supercomputers empowers computational and experimental biophysics alike.
Biophysical journal
Feb 3, 2023
Over a century ago, physicists started broadly relying on theoretical models to guide new experiments. Soon thereafter, chemists began doing the same. Now, biological research enters a new era when experiment and theory walk hand in hand. Novel softw...
Two-Step Approach for Occupancy Estimation in Intensive Care Units Based on Bayesian Optimization Techniques.
Sensors (Basel, Switzerland)
Jan 19, 2023
Due to the high occupational pressure suffered by intensive care units (ICUs), a correct estimation of the patients' length of stay (LoS) in the ICU is of great interest to predict possible situations of collapse, to help healthcare personnel to sele...
Disruptive innovation in psychiatry.
Annals of the New York Academy of Sciences
Mar 1, 2022
Disruptive innovation is a cornerstone of various disciplines, particularly in the business world, where paradigm-altering approaches are often lauded. As a construct, disruptive psychiatry can be considered to embody such an approach by the pursuit ...
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