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

Dear Madam/Sir,

this is a gentle reminder that the next seminar in the "AI & Health" series
will take place TOMORROW (8 March), 04:30pm CET. ⌚

All details are reported below, along with proper directions for joining
the Working Group. 🙏

sincerely,
Francesco Calimeri, Mauro Dragoni, Fabio Stella




---------- Forwarded message ---------
From: Francesco Calimeri <francesco.calimeri@unical.it>
Date: Thu, Feb 29, 2024 at 8:35 PM
Subject: HC@AIxIA: AI&Health Seminar Series (2024) - MARCH 8th
To: <hc-aixia-members@googlegroups.com>
Cc: hc-aixia <hc-aixia@googlegroups.com>, Francesco Calimeri <
francesco.calimeri@unical.it>, Mauro Dragoni <dragoni@fbk.eu>, Fabio Stella
<fabio.stella@unimib.it>


Dear Madam/Sir,

This is to officially announce 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. *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, and a poster attached. 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.


[image: HC@AIxIA - Seminars AI & Health 2024 - Locandina 03.png]



On Mon, Jan 29, 2024 at 7:54 PM Francesco Calimeri <
francesco.calimeri@unical.it> wrote:

> Dear Madam/Sir,
>
> This is to officially announce the second 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. *Save the date: 12 February*. 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, and a poster attached. 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
> <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)"
>
>
> *== February 2024 seminar ==*
> *Lint to participate: *
> https://unimib.webex.com/unimib/j.php?MTID=m42fa53368d1f644d66bb75fbd173b7dc
>
> 2024 FEBRUARY 12th - 4:30PM CET
>
> Dr. Igor Menghini
>
> Head, Software Product Mgmt, Roche Diagnostics Solutions
>
> Title: Making sense of genetic markers: the role of NLP in building
> clinical decision support systems
>
> Abstract: Advances in genetic sequencing technology have armed clinicians
> with an incredibly powerful diagnostic tool that can detect thousands of
> genetic markers at once. This abundance of data however, poses a major
> challenge for clinicians: How to make sense of so many different parameters
> all at once? How to distinguish actionable markers from "noise"? And more
> importantly, how to do so in a world that keeps evolving with updated
> clinical guidelines, new therapies becoming available either in clinical
> trials or as approved options, and new discoveries constantly reshaping our
> understanding of diseases? To help with this daunting task, a new class of
> software systems is emerging: Genetic interpretation systems and clinical
> decision support systems. These solutions rely on the construction of a
> Knowledge-Base (KB) that captures, in a structured form, insights gleaned
> from scientific literature, clinical guidelines, therapy approvals, and
> clinicals trials. In order to keep these systems up to date, Natural
> Language Processing (NLP) is used to facilitate knowledge curation, update,
> and dissemination.
>
> *Short Bio*: Igor Menghini is a Biotech and Diagnostic leader with 15+
> years of global experience in marketing, strategy, and product development.
> He specializes in regulated software products (SaMD), AI and machine
> learning algorithms, and novel diagnostic technologies. In his current role
> at Roche Diagnostics, Igor leads the development of software and machine
> learning algorithms for medical/diagnostics use.
>
>
> On Wed, Jan 10, 2024 at 4:27 PM Francesco Calimeri <
> francesco.calimeri@unical.it> wrote:
>
>> Dear Madam/Sir,
>>
>> It is a pleasure to announce that the Working Group on Artificial
>> Intelligence for Healthcare (HC@AIxIA) of the Italian Association of
>> Artificial Intelligence has organized monthly seminars for 2024.
>>
>> Seminars aim at gathering researchers from academia, industry and medical
>> centers for presenting, discussing and spreading the latest research
>> results and ongoing works related to the application and impact of
>> Artificial Intelligence in the healthcare domain, to the larger extent. The
>> series covers a wide spectrum of topics, including theoretical and
>> practical aspects, methodologies, technologies, and systems.
>>
>> Seminars will be online streamed, open access and delivered by national
>> and international experts in medicine, biology, artificial intelligence,
>> machine learning, from both academy, research centers and industry.
>>
>> We have already a very exciting schedule for 2024, the title of the first
>> two seminars for January 16th and February 12th, together with their
>> abstract and short bio of the speaker are accessible at the following URL
>> https://aixia.it/gruppi/hc/. The following seminars will be announced
>> and posted on the same web page.
>>
>> We hope you will attend and participate in the discussion on the relevant
>> topics that will be presented and by our speakers. *Please feel free to
>> share this with those potentially interested.*
>>
>>
>> Thank you so much for your attention.
>>
>> All the best
>>
>> The Coordinators of the HC@AIxIA Working Group
>>
>> Francesco Calimeri, Mauro Dragoni and Fabio Stella
>>
>