Building a FAIR Culture in Pharma

The development of a ‘Findable, Accessible, Interoperable and Reusable’ (FAIR) data approach has been an exciting step towards an information-centric approach for the pharmaceutical industry. The potential benefits of this alternative approach to data management and accessibility could significantly support...

1 year ago
Data,R&D,Bioinformatics,News

Building a FAIR Culture in Pharma

The development of a ‘Findable, Accessible, Interoperable and Reusable’ (FAIR) data approach has been an exciting step towards an information-centric approach for the pharmaceutical industry. The potential benefits of this alternative approach to data management and accessibility could significantly support...

1 year ago

Emerging Therapeutics in Translational Medicine: Nanotechnology

Hear from some of the industry leaders including David Cook, Chief Scientific Officer, Blueberry Therapeutics who will be providing his expertise in leading a discussion on using translational research techniques to improve drug development. For daily articles on the latest pharma...

1 year ago
Bioinformatics,Biomanufacturing,Biology,News

Emerging Therapeutics in Translational Medicine: Nanotechnology

Hear from some of the industry leaders including David Cook, Chief Scientific Officer, Blueberry Therapeutics who will be providing his expertise in leading a discussion on using translational research techniques to improve drug development. For daily articles on the latest pharma...

1 year ago

An Evaluation of -Omics Technology

Omics technologies have proven to be useful molecular tools across many therapeutic areas in facilitating qualitative and quantitative tissue analysis. Spatially Resolved Transcriptomics (SRT) is an example of -omics technology used in oncology to further investigate how the heterogeneity of...

1 year ago
Oncology,Bioinformatics,Biology

An Evaluation of -Omics Technology

Omics technologies have proven to be useful molecular tools across many therapeutic areas in facilitating qualitative and quantitative tissue analysis. Spatially Resolved Transcriptomics (SRT) is an example of -omics technology used in oncology to further investigate how the heterogeneity of...

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
AI & ML,Bioinformatics,Clinical Operations,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

Real World Data and Evidence: Emerging Trends Across Clinical Research

Real-world data (RWD) and real-word evidence (RWE) are increasingly used to support drug development and clinical research across life sciences. RWE studies provide insight into the implementation of therapeutic drugs clinical practice based on RWD of the patient population. RWD...

1 year ago
Bioinformatics,Clinical Operations,Biology,News

Real World Data and Evidence: Emerging Trends Across Clinical Research

Real-world data (RWD) and real-word evidence (RWE) are increasingly used to support drug development and clinical research across life sciences. RWE studies provide insight into the implementation of therapeutic drugs clinical practice based on RWD of the patient population. RWD...

1 year ago

An Evaluation of Data Capture and Visualization in Clinical Research

Data capture and visualization are the key components of clinical trial data analysis. However, with the explosion of COVID-19 around the world, data collection became difficult with poor patient recruitment and a reduction in face-to-face clinics. Advancements in telehealth have...

1 year ago
Bioinformatics,Biology,News

An Evaluation of Data Capture and Visualization in Clinical Research

Data capture and visualization are the key components of clinical trial data analysis. However, with the explosion of COVID-19 around the world, data collection became difficult with poor patient recruitment and a reduction in face-to-face clinics. Advancements in telehealth have...

1 year ago

Uses for AI in Pharma R&D

AI is by far the biggest buzzword in pharma today - but unlike many other high-profile trends, AI has the potential to rapidly and totally transform the sector forever, speeding up processes, automating basic tasks and making sense of the...

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

Uses for AI in Pharma R&D

AI is by far the biggest buzzword in pharma today - but unlike many other high-profile trends, AI has the potential to rapidly and totally transform the sector forever, speeding up processes, automating basic tasks and making sense of the...

2 years ago

R&D: The Impact of AI in 2020

Whenever Proventa holds a Strategy Meeting around the world - regardless of meeting topic - the subject of AI comes up. It really is so important in pharma right now, with the potential to solve some of the sector's big...

2 years ago
Oncology,R&D,Bioinformatics,Biology,News

R&D: The Impact of AI in 2020

Whenever Proventa holds a Strategy Meeting around the world - regardless of meeting topic - the subject of AI comes up. It really is so important in pharma right now, with the potential to solve some of the sector's big...

2 years ago