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...

1 year ago
R&D,AI & ML,News

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...

1 year 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...

1 year ago
AI & ML,Data,News

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...

1 year 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...

1 year ago
Oncology,Precision and Personalised Medicine,AI & ML,Biology,News

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...

1 year 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...

1 year ago
Clinical Operations,AI & ML

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...

1 year 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...

1 year ago
Pharmacovigilance,AI & ML,R&D,Biology,News

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...

1 year 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...

1 year ago
Bioinformatics,Clinical Operations,AI & ML,Biology,News

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...

1 year 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...

1 year ago
Bioinformatics,AI & ML,Biology,News

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...

1 year 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...

1 year ago
Bioinformatics,AI & ML,Biology

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...

1 year 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...

1 year ago
Oncology,Precision and Personalised Medicine,AI & ML,Biology,News

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...

1 year 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...

2 years ago
R&D,AI & ML,News

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...

2 years ago