Utilising Machine Learning in Drug Discovery: Opportunities and Challenges
From artificial neural networks to predictive modelling, artificial intelligence (AI) is making its mark in the pharmaceutical industry. The ever-increasing cost of development, shorter timelines and rise in demand has seen the industry reach out to AI to help bring...
3 years agoUtilising Machine Learning in Drug Discovery: Opportunities and Challenges
From artificial neural networks to predictive modelling, artificial intelligence (AI) is making its mark in the pharmaceutical industry. The ever-increasing cost of development, shorter timelines and rise in demand has seen the industry reach out to AI to help bring...
3 years ago
Machine Learning Data Analysis: Applications Across Immunology, Oncology and Diabetes
Computational modelling is becoming increasingly popular for data analysis in life sciences. Vast areas of therapeutic research are taking advantage of machine learning (ML) approaches for disease predictions and pathology. Cancer image analysis and diabetes case prediction are a few...
4 years agoMachine Learning Data Analysis: Applications Across Immunology, Oncology and Diabetes
Computational modelling is becoming increasingly popular for data analysis in life sciences. Vast areas of therapeutic research are taking advantage of machine learning (ML) approaches for disease predictions and pathology. Cancer image analysis and diabetes case prediction are a few...
4 years ago
The Latest Developments in Precision Oncology
Precision medicine is a rapidly growing therapeutic area within oncology. Technological innovations have contributed to the refinement of predictive and diagnostic techniques used to tailor therapy for cancer patients. The goal is to not only develop more precise treatments, but...
4 years agoThe Latest Developments in Precision Oncology
Precision medicine is a rapidly growing therapeutic area within oncology. Technological innovations have contributed to the refinement of predictive and diagnostic techniques used to tailor therapy for cancer patients. The goal is to not only develop more precise treatments, but...
4 years ago
Innovations in AI Risk-Based Monitoring in Clinical Research
Risk-based monitoring (RBM) is a useful tool in maximising the quality of clinical trials. Enhanced site communication, greater patient safety and lower costs are a few of the benefits of RBM. The innovations of AI in clinical research have application...
4 years agoInnovations in AI Risk-Based Monitoring in Clinical Research
Risk-based monitoring (RBM) is a useful tool in maximising the quality of clinical trials. Enhanced site communication, greater patient safety and lower costs are a few of the benefits of RBM. The innovations of AI in clinical research have application...
4 years ago
How Effective is the Automation and Validating of Human Dose Predictive Models?
Dose prediction is a critical part of drug discovery which determines the safety and efficacy of drugs within patients. Dose response predictions are made with preclinical models which quantify pharmacokinetic (PK) behaviour via a number of parameters. Despite the continuous...
4 years agoHow Effective is the Automation and Validating of Human Dose Predictive Models?
Dose prediction is a critical part of drug discovery which determines the safety and efficacy of drugs within patients. Dose response predictions are made with preclinical models which quantify pharmacokinetic (PK) behaviour via a number of parameters. Despite the continuous...
4 years ago
The Impact of Modern Technology on Clinical Operations
The modernisation of clinical research is an important part of expediting the drug approval process, and this in turn is dependent on the success of clinical trials with a sufficient number of appropriate participants. A number of recent innovations promise...
4 years agoThe Impact of Modern Technology on Clinical Operations
The modernisation of clinical research is an important part of expediting the drug approval process, and this in turn is dependent on the success of clinical trials with a sufficient number of appropriate participants. A number of recent innovations promise...
4 years ago
Blockchain, Data mining, and Disruptive Technologies: Digital Innovations in Clinical Research
In the last decade, innovations in data technology have greatly contributed to the quality and transparency of clinical research. System security, clinical trial design, and data analysis are some of the areas which have seen significant modernisation to keep up...
4 years agoBlockchain, Data mining, and Disruptive Technologies: Digital Innovations in Clinical Research
In the last decade, innovations in data technology have greatly contributed to the quality and transparency of clinical research. System security, clinical trial design, and data analysis are some of the areas which have seen significant modernisation to keep up...
4 years ago
Implementation of Machine Learning in Drug Development
Significant recent investment in computational technology has seen a number of new innovations arise in drug discovery - perhaps most notable machine learning (ML). By 2022, it is expected that AI technology will contribute $2.199 billion to pharma’s revenue, with...
4 years agoImplementation of Machine Learning in Drug Development
Significant recent investment in computational technology has seen a number of new innovations arise in drug discovery - perhaps most notable machine learning (ML). By 2022, it is expected that AI technology will contribute $2.199 billion to pharma’s revenue, with...
4 years ago
Strategies to Optimise Companion Diagnostics in Cancer
Companion diagnostic tests are an important part of precision medicine in oncology. In addition to matching optimal treatment options for patients, these tests enable clinicians to monitor the efficacy of therapeutic intervention in disease management. Innovations in cancer biopsies and...
4 years agoStrategies to Optimise Companion Diagnostics in Cancer
Companion diagnostic tests are an important part of precision medicine in oncology. In addition to matching optimal treatment options for patients, these tests enable clinicians to monitor the efficacy of therapeutic intervention in disease management. Innovations in cancer biopsies and...
4 years ago
The Promise of Quantum AI in Pharma R&D
Given the long-standing hype around AI and machine learning (ML) in pharma R&D, it can be easy to overlook innovations that potentially promise just as much for the pharmaceutical sector. Quantum computing is one area expected to have far-reaching impact...
4 years agoThe Promise of Quantum AI in Pharma R&D
Given the long-standing hype around AI and machine learning (ML) in pharma R&D, it can be easy to overlook innovations that potentially promise just as much for the pharmaceutical sector. Quantum computing is one area expected to have far-reaching impact...
4 years ago