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RPA and GDPR: Security Governance in the Automation Era

By Priyadarshan Patilin Artificial Intelligence, Compliances

RPA and GDPR: Security Governance in the Automation Era

The data on security breaches is overwhelming on many fronts. Over a billion records of consumers have been compromised since 2005. The total number of breaches in the period is…

10 Real World Examples of Deep Learning Models & AI

By Jyoti Vaziraniin Artificial Intelligence, Innovation, Technology

10 Real World Examples of Deep Learning Models & AI

For the vast majority of us, concepts like deep learning and Artificial Intelligence are still alien. Most people who come across these terms for the first time react with mixed…

Industry 4.0: The Era of Cyber-Physical Systems and Intelligent Analytics

By Jyoti Vaziraniin Artificial Intelligence, Innovation

Industry 4.0: The Era of Cyber-Physical Systems and Intelligent Analytics

Self-driving cars. Intelligent bots. Neuro-tech psycho-development. Genetic editing. Geoengineering. Artificial lifeforms. Mobile supercomputing of a surreal standard. Welcome to Industry 4.0. Industry 4.0 or the Fourth Industrial Revolution is not…

What Does Corporate Accountability Stand for When Bots Do All the Work?

By Krishna Vemuriin Artificial Intelligence, Technology

What Does Corporate Accountability Stand for When Bots Do All the Work?

Only one event commands the same absolute degree of certainty as death – disruption of the status quo. Unless you concede that transformation is the new status quo. In every…

Making of a Storm: What Happens to Dark Data in Analytics and Big Data?

By Priyadarshan Patilin Artificial Intelligence, Big Data

Making of a Storm: What Happens to Dark Data in Analytics and Big Data?

Dark data is the kind of data that does not become a part of the decision making for organizations. This is generally the data from logs and sensors and other…

Five Applications of Machine Learning in the Pharma Industry

By Jyoti Vaziraniin Artificial Intelligence

Five Applications of Machine Learning in the Pharma Industry

Machine learning seamlessly is integrating with other industries right before our eyes. Like with so many so many other industries, more data means greater effectiveness in the pharma industry. A…

Clinical Trials are the validation phases of the Research and Development that were done in the laboratories by the scientific researchers. It is a crucial stage in the overall developmental life cycle of a drug which often takes at least ten years and costs an average of $2.6 billion.

The Clinical Trials process generally runs through 4 Phases with greater numbers of subjects tested during each phase and it may take several years to complete. During these phases, risk management, quality assurance, clinical operations, and regulatory affairs are all monitored and managed by sophisticated clinical trial management systems. Less than 12% of the drugs that make it to Phase 1 trials will ever be approved by the FDA for sale to the consumer.

Only after the Clinical Trials have provided the FDA with their massive amounts of data required to determine the benefits and risks of the potential medicine on the public can a decision be made on whether to grant approval to market the new medicine. Therefore, with the economic impact that is associated with each drug that goes through the process, it is critical to the pharmaceutical firm that these trials prove the efficacy and safety of the medications.

Futran Solutions’ Pharmaceutical and Life Sciences Solutions division, offers firms the specialized skills associated with all phases of the Clinical Trials process.

Being a leading Solutions Provider to the Pharmaceutical sector, our recruitment team has gained advanced knowledge in EMR, Clinical Trials and Clinical Trials Data Management Systems and is capable of understanding your needs in the above functional areas in order to provide our clients the very best resources.

Understanding the functions and interactions of specialized personnel such as Pharmaceutical Clinical Research Officers (CRO), Trial Assistants (CTA), Project Managers (CPM), Data Coordinators (CDC), and Data Managers (CDM) allows us to provide professionals well versed in the team environment they are supporting. Their interactions with Regulatory Affairs specialists assures that the documentation provided meets FDA requirements.Futran Solutions have a proven track record of working across the full clinical research process from drug discovery to launch.

Throughout our time of service in the industry, we have maintained very strong professional affiliations and continued to grow and evolve hand in hand with our clients. It is our clients satisfaction and growth, which drives Futran Solutions’ success as a leading Pharma & Life Science solutions provider globally.Futran Solutions uses its Proprietary method called FARM for effective recruiting process.

Functional Areas We Support:

Risk Management
Medical Writing
Quality Assurance
Clinical Operations
Biometrics/Clinical IT
Regulatory Affairs
Clinical Trial Management Systems

While manufacturing automation systems in general have been designed to increase productivity, improve the quality of products, and reduce waste, such systems in the Pharmaceutical environment have even more requirements.

Since the Pharmaceutical industry is highly regulated, the safety of medications and devices sold to the public is of primary importance. Automation Systems for the Pharmaceutical environment require compliance with guidelines such as Good Automated Manufacturing Practice (GAMP) from the International Society of Pharmaceutical Engineering and the FDA’s 21 CFR part 11 regulations. Automated systems may also be designed in compliance with ISA S88 concepts of batch automation and recipe management and be compliant with 21 CFR part 11 features to ensure a structured approach to successful automated manufacturing in a pharmaceutical setting. These systems are tied to Supervisory Control And Data Acquisition (SCADA) devices, Programmable Logic Controllers, Robotic Systems, Distributed Control Systems, Batch Automation Systems, Syncade and DeltaV Systems. Beyond the manufacture of the drugs themselves, automation systems are integral to the process of packaging which includes such steps as weighing, blending, granulating, tableting, capsuling, and filling containers. Systems performing these functions utilize automated inspection machines to ensure the quality of the final product by count, weight, level, vision, etc.

The automated systems doing all of these manufacturing and packing activities integrate with various enterprise systems. The Manufacturing Execution System (MES) which manages the manufacturing resources such as inventory records, product specifications, workflow management and laboratory information is linked to the other systems for Enterprise Resource Planning such as SAP for supply chain management, logistics, finance, and sales. Our years of experience in sourcing the specialized personnel associated with performing in this environment such as Process Automation Engineers, Packaging Engineers, and Pharmaceutical Manufacturing Systems Engineers and Execution Systems Engineers has made Futran Solutions a leader in providing Automation Solutions in the Pharmaceutical sector. Contact us to learn why Futran Solutions is a considered a pioneer of integrated pharmacy solutions offering manufacturing & automation services.

Functional Areas We Support:

SAP-Supply Chain Management
Supervisory Control And Data Acquisition (SCADA)
Programmable Logic Controllers (PLC)
Distributed Control Systems (DCS)
Batch Automation Systems
Syncade And DeltaV Systems