[visionlist] AI for personalized pediatrics: Special Issue Call for Papers

[Anna Leida]

Leveraging AI for personalized pediatric neurodevelopmental support



*** Complimentary Open Access Available ***



*** Call for Papers ***

Personalized medicine in pediatrics is a moving target dedicated to finding
the right treatment, at the right time, for each individual child in each
stage of development. Child development is a highly personal process,
unique to each individual, something which is even more apparent in the
development of children with neurodevelopmental conditions. These
conditions have highly complex causalities involving genetics, biology and
environmental factors. Personalized medicine can be used to find the causes
of conditions, develop treatment, and assist and analyze behavioral
interventions and assess the quality of educational efforts. Artificial
Intelligence and Machine Learning are not only used in discovering new
drugs but play a crucial role in understanding how diseases develop in
humans, the various stages of disease development, the corresponding
symptoms, and ways to effectively treat the conditions based on the
parameters of each case. We can measure the electrical activity in the
brain, which helps us to identify early changes in brain function. Bots and
robotic devices can help guide the physical tasks required for directed
training and education, while at the same time monitoring the progress and
suggest interventions and alternate therapies in a dynamic fashion. AI
tools can make the recordings and come up with possible variations to the
experiments and the subsequent results, speeding up discovery of new
vaccines and drugs. But tomorrow’s drug development will not only rely on
discovery, but rather program and design of new drugs as well as behavioral
and psychological therapies.



Topics of interest include, but are not limited to:



+ Machine learning tools for discovery of brain activity and brain
developmental patterns

+ Drug discovery and personalized drug therapy in complex
neurodevelopmental conditions

+ AI tools for child developmental support, teaching and monitoring

+ Personalized pediatric medicine

+ AI assisted screening tools in neuropsychology

+ Big data analytics in multi-parameter datasets in developmental monitoring

+ Bots and AI agents for personalized education



https://www.eurekaselect.com/call-for-papers-detail/6312/specialissue



-- Publication –



This issue is published as a Full Open Access Thematic Issue. Complimentary
Open Access is available for selected early submissions, covering the $588
Open Access Publishing Fee.



-- Format --



Recommended size of journal contributions is 8-12 pages, including imges
and references.

Authors are not required to follow any formatting guidelines. When an
article is accepted for publication, authors can submit it in the format of
their choice, the publisher will convert it into a journal-specific format
for them.

If the submission is accepted for publication, the publisher will format it
in accordance with the style and format of the journal.

 For all online submissions, please provide soft copies of all the
materials (main text in MS Word or Tex/LaTeX), figures/illustrations in
TIFF, PDF or JPEG, and chemical structures drawn in ChemDraw (CDX)/ISISDraw
(TGF) as separate files, while a PDF version of the entire manuscript must
also be included, embedded with all the
figures/illustrations/tables/chemical, structures, etc .

 Author guidelines: https://benthamscience.com/journal/122/ifa



 -- Submission --


All submitted papers will be subject to a peer review proceedure. Papers
are accepted until Nov 2024. If requested to resubmit, a second review
round is allowed, allowing authors to address reviewer concerns and
significantly improve their work.

Authors can submit several proposals to the issue, but each author can be
involved in only one published manuscript of the thematic issue. Other
accepted publications may be accepted in a general issue, subject to
positive peer review.



All other authors can be involved in only one of the manuscripts of the
thematic issue, to ensure quality in diversity.

The contributors should select the option *"Manuscript Submission in any
Thematic Issue" *and enter the hot topic (HT) code as *BMS-CBIOT-2024-HT-8* so
that their manuscripts are processed under the correct thematic issue.

Select submission using code *BMS-CBIOT-2024-HT-8*  so that their
manuscripts are processed under the correct thematic issue. Publications
submitted without the code, will be processed as general submissions for
CBT.

Paper submissions are accepted through MPS:
https://bentham.manuscriptpoint.com/journals/CBIOT
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