Re: HC@AIxIA: AI&Health Seminar Series (2024) - MARCH 8th

the correct link for joining is:
https://unimib.webex.com/unimib/j.php?MTID=mdae7ca022533b735778dcb5baffef199

we apologize for the inconvenience.
f

On Thu, Feb 29, 2024 at 8:42 PM Francesco Calimeri <calimeri@mat.unical.it>
wrote:

> [apologize for multiple postings]
>
> The THIRD seminar of the "AI & Health" series as hosted by HC@AIxIA,
> i.e., the "Artificial Intelligence for Healthcare" working group of the
> Italian Association for Artificial Intelligence, is announced. *Save the
> date: 8 March.*
>
> We hope you will attend and participate in the discussion on the relevant
> topics that will be presented and by our speakers.
> *Feel free to share this with those potentially interested.*
> Please find some details below. All directions for participating are
> available at https://aixia.it/gruppi/hc/.
>
>
> *== Are you interested in Joining the group? ==*
> Please head to https://aixia.it/en/gruppi/hc/ fo find out how. Do not
> hesitate to contact us at hc-aixia@googlegroups.com for any information
> or clarification.
>
>
> Thank you for your interest in the AI & Health seminar series and the
> HC@AIxIA working group, and see you soon!
>
> Sincerely,
> Francesco Calimeri, Mauro Dragoni, Fabio Stella
> (coordinators of the HC@AIxIA working group)
>
>
>
> *== March 2024 seminar ==*
> *Link to participate*:
> https://unimib.webex.com/unimib/j.php?MTID=m42fa53368d1f644d66bb75fbd173b7dc
>
> *2024 MARCH 8 - 4:30PM CET*
> *Andrea Palladino and Margherita Bodini*
> GSK (Siena, Italy)
>
> *Title*: Natural language processing and deep learning for genome
> classification
>
> *Abstract*: Machine learning classification of entire genome sequences
> would find many important applications in the bacteriology field. Among the
> most relevant, there are population genomics, antibiotic resistance
> monitoring, and outbreak investigation. Despite the prosperous application
> of AI to genetic sequences, especially in eukaryotes (Y. Ji et al.
> Bioinformatics (2021), Z. Avsec et al., Nature Methods (2021)), it is still
> challenging to use machine learning on the complete genome sequence of an
> organism. In this seminar we will show various approaches to apply Natural
> Language Processing (NLP) to biological sequences. We will guide attendants
> in understanding the relevance and some details of such methods and show
> practical examples of application to Neisseria meningitidis genome. We will
> describe our recent work on the classification of B/non-B capsules and on
> the identification of strains that colonize asymptomatically the
> nasopharynx (carrier) from those that cause meningitis or sepsis (disease),
> comparing with the state of the art methodology. Finally, we will show how
> deep learning can be applied to the same scopes, with practical examples.
>
> *Short Bio*: Andrea Palladino is a physicist by formation, working in the
> field of artificial intelligence since 2020. He is senior data scientist at
> GSK in the group of systems vaccinology, applying machine learning
> algorithms to human data in the context of immuno-senescence, to
> investigate the relationship between chronological age and "age” of the
> immune system.
> *Short Bio*: Margherita Bodini is a Bioinformatician, with PhD in
> computational biology at the University of Milan. She works as senior data
> scientist at GSK in the group of bacterial computational genomics, applying
> genomic data analysis and machine learning towards research, development,
> and life cycle management of vaccine products.
>