Tag: machine learning

Enzyme activity prediction still revolves around the enzyme activity-protein structure correlate

March 29, 2024

From the theoretical perspective, enzyme structure is perhaps the easiest correlate for enzyme activity levels given the intuitive nature of structure-function correlates. But, the challenge lies in extracting useful features from a structural depiction that could be correlated with enzyme activity. To this end, the field of enzyme activity prediction still awaits comprehensive proteome level … More Enzyme activity prediction still revolves around the enzyme activity-protein structure correlate

Many manufacturing plants in the pharmaceutical industry are moving into the big data era

March 15, 2024

Big data has been touted to revolutionize many industries in the near future. Indeed, the era of big data has arrived in many manufacturing industries such as the petrochemical and biopharmaceutical industries. In the case of manufacturing plants of pharmaceutical industries, there is a movement towards digitisation of all manufacturing operations to help capture all … More Many manufacturing plants in the pharmaceutical industry are moving into the big data era

Active learning is the next frontier in machine learning

January 7, 2024

Machine learning has seen a large growth in applications over the past few years, and has impacted on the fields of clinical diagnostics, security, and drug discovery. The typical workflow in machine learning involves the preprocessing of input data into standardized format readable by computers, random division of data into training and validation sets, training … More Active learning is the next frontier in machine learning

Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

January 5, 2024

Video conferencing has become an important tool for learning and conducting business meetings in the modern world. However, not all participants in the meeting are using high end computers with good graphics or video cards. Hence, how does the video conferencing software help ensure that an acceptable quality of video feed is available for all … More Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

September 24, 2023

Video conferencing has become an important tool for learning and conducting business meetings in the modern world. However, not all participants in the meeting are using high end computers with good graphics or video cards. Hence, how does the video conferencing software help ensure that an acceptable quality of video feed is available for all … More Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

Personalized medicine is about tailoring treatments for patients using insights from large cohort studies

April 23, 2022

Personalized medicine has been increasingly described as the next epoch in medical treatment. However, it has faced particular challenges in its implementation and adoption around the world. Chief amongst those is the high cost of developing individualized treatments for patients, particularly for rare and orphan diseases. Possibility exists for a change if we take another … More Personalized medicine is about tailoring treatments for patients using insights from large cohort studies

Application of machine learning tools in predicting enzyme activity

December 18, 2021

Currently, the holy grail in application of machine learning to predicting enzyme performance lies in using sequence information for understanding the relative levels of enzyme activity. Such a task transverses multiple steps of biological abstraction and is not trivial. Specifically, enzyme activity level is predicated primarily on the affinity between the enzyme for the substrate … More Application of machine learning tools in predicting enzyme activity

Generic methods for building machine learning models may not yield the best optimized model

February 5, 2021

Current trend in machine learning splits practitioners in the field into two camps: (i) those that use established machine learning tools to build models on new data, and (ii) those that design and conceptualize new machine learning tools. Typically, many novice users of machine learning tools would iteratively test established machine learning tools such as … More Generic methods for building machine learning models may not yield the best optimized model

Predictions from biological deep learning models are hard to interpret due to their “black box” nature

November 11, 2020

Involving the use of neural networks, deep learning is increasingly applied in many facets of biological research to glean insights into complex data. Such models could proffer patterns in complex data otherwise hidden from view, but which may help inform future experimentations or seed new research inquiries. In actual implementation, deep learning approaches utilises a … More Predictions from biological deep learning models are hard to interpret due to their “black box” nature

Machine learning helps build models that describes the fundamental underpinnings of a system

September 18, 2020

Artificial intelligence has been applied in many areas of science, engineering and medicine. For example, machine learning algorithms have been utilized to formulate recipes for the synthesis of metal organic frameworks adsorbents as well as develop screening tools for the automated diagnosis of abnormalities in mammograms. Central to these applications is the ability of machine … More Machine learning helps build models that describes the fundamental underpinnings of a system