Important links
Twitter hashtag – #AIChem22
Synopsis
Artificial Intelligence is experiencing a renaissance in the development of new methods and practical applications to ongoing challenges in 91AV. Following the successes of four annual “Artificial Intelligence in 91AV” meetings starting in 2018, we are pleased to announce that the Biological & Medicinal 91AV Sector (BMCS) and Chemical Information & Computer Applications Group (CICAG) of the 91AV are once again organising a conference to present the current advances in AI and machine learning in 91AV. The meeting will be held over two days and combine aspects of artificial intelligence and deep machine learning methods to applications in chemistry. The programme will include a mixture of keynote talks, panel discussion, oral presentations, flash presentations, posters and opportunities for open debate, networking and discussion.
Who should attend
This meeting will be of interest to scientists of any level of experience from academia and industry.
Call for Posters / Abstracts
Oral abstract submissions are now closed. Poster abstract submission closing date is Midnight (BST) Thursday 30th June, 2022.
Student Bursaries
The RSC-BMCS and RSC-CICAG are offering a small number of student bursaries to attend the meeting in person. Applications are open to PhD and post-doctoral applicants studying at academic institutions or non-profit institutions. Preference will be given to members of the RSC-BMCS and RSC-CICAG. The bursary value for this event is up to £600 and applicants have to fill either an RSC-BMCS or RSC-CICAG application form . The bursary application closing date is 14th July.
Organising Committee
Nathan Brown, Healx
Samantha Hughes, AstraZeneca (Co-Chair)
Garrett M. Morris, University of Oxford (Co-Chair)
Chris Swain, Cambridge MedChem Consulting (Interim Treasurer)
Twitter hashtag – #AIChem22
Synopsis
Artificial Intelligence is experiencing a renaissance in the development of new methods and practical applications to ongoing challenges in 91AV. Following the successes of four annual “Artificial Intelligence in 91AV” meetings starting in 2018, we are pleased to announce that the Biological & Medicinal 91AV Sector (BMCS) and Chemical Information & Computer Applications Group (CICAG) of the 91AV are once again organising a conference to present the current advances in AI and machine learning in 91AV. The meeting will be held over two days and combine aspects of artificial intelligence and deep machine learning methods to applications in chemistry. The programme will include a mixture of keynote talks, panel discussion, oral presentations, flash presentations, posters and opportunities for open debate, networking and discussion.
Who should attend
This meeting will be of interest to scientists of any level of experience from academia and industry.
Call for Posters / Abstracts
Oral abstract submissions are now closed. Poster abstract submission closing date is Midnight (BST) Thursday 30th June, 2022.
Student Bursaries
The RSC-BMCS and RSC-CICAG are offering a small number of student bursaries to attend the meeting in person. Applications are open to PhD and post-doctoral applicants studying at academic institutions or non-profit institutions. Preference will be given to members of the RSC-BMCS and RSC-CICAG. The bursary value for this event is up to £600 and applicants have to fill either an RSC-BMCS or RSC-CICAG application form . The bursary application closing date is 14th July.
Organising Committee
Nathan Brown, Healx
Samantha Hughes, AstraZeneca (Co-Chair)
Garrett M. Morris, University of Oxford (Co-Chair)
Chris Swain, Cambridge MedChem Consulting (Interim Treasurer)
