World Lung Cancer Day 2022- Supporting Efficient Clinical Trials for Faster Market Reach of Drug Products

Navitas Life Sciences joins the World Health Organization in celebrating #LungCancer Day 2022 to raise awareness about the disease , and this year’s theme ‘Close the Care Gap’ aims at promoting equality in care. In line with the theme, we are focused on supporting efficient clinical trials to speed drug products to the market.

Navitas Life Sciences is a trusted clinical research organization focused on supporting clinical trial needs of small, medium and large life sciences companies globally. We deliver platform-driven end-to-end clinical trials, right from clinical trials operations, medical services, regulatory, pharmacovigilance and clinical data services.

Our highly qualified team of experts manage productive clinical trials in a highly collaborative environment that caters to your specific clinical trial needs. Our highly valued expertise, and experience across a wide array of therapeutic areas, have helped in driving drug products to the market effectively.

Here are a list of events we will be participating in this year

24th SCDM Annual Conference

Date : 11 – 14 September 2022

Venue : Hyatt Regency Hill, San Antonio, Texas

The Navitas Life Sciences team is excited to be exhibiting at the 24th SCDM Annual Conference which will reconnect the global Clinical Data Management community, celebrate imaginative ideas and pioneering mindsets, as well as inspire delegates.

Sowmya Kaur, Executive VP, Navitas Clinical Research and Head of Clinical – APAC, Navitas Life Sciences, and Dr. Yun Lu, Chief Scientific and Innovation Officer, Navitas Clinical Research, a part of Navitas Life Sciences will be present at the conference to discuss your objectives and how we can support you with data-driven, patient-centric, and efficient trials to help speed your product to the market.

Don’t forget to meet our experts at booth 111 to get vital insights about managing effective clinical trials. Preschedule a meet, and book your slot before it runs out, by using this link.

PHUSE India Autumn Single Day Event

Date : 17 September 2022

Venue : GSK Offices, Bangalore together with virtual participation

We are delighted to be a media sponsor for the upcoming PHUSE India Autumn Single Day Event. Navitas Data Sciences’ Shrishaila Patil will be producing his third event in his role as India SDE Lead for 2022. Taking place on 17 September the day will be focused on Data Analysis and Reporting of New Age Clinical Trials, exploring automation in clinical programming, standards, latest protocol designs, RWD, RWE, and more.

Our Associate Manager and Statistical Programmer, Ram Mohan Konda, will be presenting a session titled “Utility Macros and Unique Tables Macros” to explore how automating unique tables and listings using macros can save Statistician time, reduce human error, and deliver high-quality work.

labeltech Forum – Week One

Date : 19 September, 2021

Venue : Virtual

labeltech is a network for Regulatory and IT professionals; focused on exploring end-to-end labeling technologies to improve processes and increase business value. The labeltech forum will explore End-to-End Labeling Technologies.

11th PHUSE/FDA Computational Science Symposium 2022

Date : 19 – 21 September

Venue : Courtyard Marriott Downtown, Silver Spring, MD

We are a sponsor and exhibitor at the upcoming PHUSE Computational Science Symposium 2022. The event will provide a wealth of opportunities to learn, contribute, and collaborate with the following PHUSE Working Groups taking part:

• Data Transparency
• Data Visualization and Open Source Technology
• Emerging Trends and Technologies
• Nonclinical Topics
• Optimizing the use of Data Standards
• Safety Analytics

Please do visit our exhibition booth! If you would like to pre-schedule a meeting with our team of data science experts, please click here.

labeltech Forum – Week Two

Date : 27 September, 2021

Venue : Virtual

labeltech is a network for Regulatory and IT professionals; focused on exploring end-to-end labeling technologies to improve processes and increase business value. The labeltech forum will explore End-to-End Labeling Technologies.

cmonet Roundtable Meeting

Date : 13 October, 2022

Venue : Virtual

cmonet is a network for Chief Medical Officers, addressing strategic and governance topics within the remit of the CMO. The theme for this event is Governance of Digital Health Platforms.

Please be advised that this is an invitation-only event.

CDISC 2022 US Interchange

Date : 26 – 27 October

Venue : Renaissance Austin Hotel, Austin, Texas

Navitas Data Sciences are pleased to be a Ruby Sponsor at the CDISC 2022 US Interchange. Our team of subject matter experts looks forward to meeting with you at our exhibition booth.

Navitas Data Sciences is the Functional Service Provider (FSP) of Data Services for Navitas Life Sciences and has global solutions for all your Biostatistics, Statistical Programming, and Data Management needs.

If you would like to arrange to meet with our team of experts and learn how we can help you to meet the future challenges of Data requirements in your clinical trials, please click here.

CPHI Frankfurt 2022

Date : 01 – 03 November, 2022

Venue : Messe Frankfurt

Navitas Life Sciences will be exhibiting with CPHI at the CPHI Frankfurt 2022 event taking place between 01 – 03 November. Come and find us in the ICSE zone at booth 91H74 to meet our team of experts, Dr. Ayaaz Hussain Khan, Global Head - Generics, Navitas Life Sciences and Dinesh Prabhu, Assistant General Manager – BA/BE Services, Navitas Life Sciences and gain from their key insights.

Get exclusive time to discuss how we can help you by prescheduling a meet using the link here.

PHUSE India Winter Single Day Event

Date : 03 December 2022

Venue : To be confirmed

We are delighted to be a media sponsor for the upcoming PHUSE India Winter Single Day Event. Navitas Data Sciences’ Shrishaila Patil will be producing his fourth event in his role as India SDE Lead for 2022. Taking place on 03 December, the event will be focused on the Application of Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) in Clinical Trials.

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