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Postdoc position! Pls boost!

Want to devote your expertise in data science to accelerate the pace at which new medicines are found?

Join our lab at the Broad Institute in Cambridge, MA, USA to glean insights from biological images!
More info: broad.io/mlcbpostdoc

The Broad Institute provides a uniquely stimulating environment to advance and apply data science in collaboration with MIT, Harvard, and hospitals. (1/2)

Excited to share this work, a cross-disciplinary collaboration with Chandrani Kumari (IMSc), Gautam Menon (Ashoka), Leelavati Narlikar (IISER Pune), Uma Ram (Seethapathy Clinic and Hospital): “A predictive model of a growing fetus” in which we use the Gompertz growth model to describe fetal parameters, predict birth weight, and more.
medrxiv.org/content/10.1101/20

I just did a thread on this at the birdsite twitter.com/rsidd120/status/16

Happy to engage here too!

A predictive model of a growing fetus

Fetal growth is monitored periodically during pregnancy via ultrasound measurements of fetal dimensions such as femur length (FL), head circumference (HC), abdominal circumference (AC), and biparietal diameter (BPD). Multiple growth standards have been published for each of these, which are clinically used to place a fetus on a "growth chart". These consist of percentile tables varying by weeks of gestation, computed from cohorts of "low-risk" women with healthy lifestyles, living conditions, and clinical parameters. Such charts are prescriptive of ideal growth, but not necessarily descriptive of diverse real-world populations where they may be used. Moreover, they are constructed by pooling all fetal measurements across the cohort, not based on a growth model, and therefore not necessarily predictive of growth of an individual fetus. We show that the Gompertz model, a standard model for constrained growth, with just three intuitive parameters, convincingly fits the growth of fetal ultrasound biometries. Two of these parameters - t0 (the inflection time) and c (the rate of decrease of growth rate) - can be treated as universal to all fetuses, while the third parameter A can be modeled as an overall scale parameter specific to each fetus, which captures the individual variation in growth. On our cohort of 817 pregnant women ("Seethapathy cohort"), we show that not only can the value of A for each fetus be inferred from ultrasound data available by the second or the third trimester, but the weight of the baby at delivery can also be predicted with remarkable accuracy using these inferred Gompertz parameters. A model trained on the Seethapathy cohort performs well in estimating the birth weight in an independent validation cohort of 365 women, demonstrating the predictive power of the model. Moreover, we find that deviation from Gompertz-like growth is linked to neonatal complications. Finally, we show that the Gompertz growth curve is a close fit to the standards from WHO, NICHD and INTERGROWTH, with the optimal t0 and c close to that in the Seethapathy cohort. We propose that the Gompertz formula be a basis for future growth standards, with almost all variation described by a single scale parameter A, which can serve either as a descriptor of mean or variance in population, or as a descriptor for growth of an individual fetus. Indeed, the formula is descriptive of typical growth, predictive of future growth, and may be used in prescriptive standards. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement We acknowledge funding from BIRAC grant bt/ki-data0404/06/18 (LN, GM, UR, RS), and the IMSc Centre for Disease Modelling (ICDM) funded via an apex project at IMSc by the Department of Atomic Energy, Government of India (CK, RS) ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The Independent Ethics Committee of the Fetal Care Research Foundation, Chennai, gave ethical approval for this work. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable. Yes All data produced in the present study are available online at https://github.com/chandranikumari/FetusGrowthModel

www.medrxiv.org

The fantastic Dan Bush who is starting his new lab here at #ucl #neuroscience is recruiting! Come join our great dept!: There are two #postdoc positions available - using #MEG, intracranial EEG and #human single cell recordings to test theoretical models of #human long-term #memory function - further details here: tinyurl.com/38mcacj9)

PSA: When marginalized communities speak up about the issues that affect them, they are not being divisive. They are trying to protect themselves and others from oppression. Folks need to stop spinning this as division. It’s self-defence from an onslaught of hate.

Non-CW’d posts like this will be rare on my account. But this is a plea, in a time where all marginalized groups are being attacked by the far right, to the point where it’s becoming mainstream, to please speak up when you hear it.

In case you were discouraged from applying for the HHMI call (March 2023) because past winners all had Nature/Science/Cell papers, @leslievosshall says the times are a-changing and all outstanding scientists should apply this round!
twitter.com/leslievosshall/sta

Welcome to @geffenlab!

Maria is a professor at UPenn who studies hearing and auditory memory. Her lab has discovered a number of new brain circuits that support these important functions: hosting.med.upenn.edu/hearing/

Maria is also a polymath who is good at ... basically everything. And she has seemingly endless energy for it. Biotech. Science. Modeling. Advising. +

Let's also applaud Maria's dedication to early career researchers and enhancing diversity:
mastodon.social/@geffenlab@mas

Follow: @geffenlab

#introduction
Hi everyone! I am an assistant professor at the Bernoulli Institute of Mathematics, Computer Science and AI of the University of Groningen. I try to understand when, how and why we mind-wander, using EEG, behavior and modeling. I also do crazy studies of EEG hyperscanning with dancers, Tibetan monks and more. I am fascinated by how meditation practices can change our minds.
By night I am a very dedicated classical ballet dancer.

Science mastodon: As we (re)build our community, what would you most like to see more of here? #neuroscience #psychology @cogneurophys

@NicoleCRust There's no building of 'community' without building active measures to include ECRs and historically excluded groups 🤷🏾‍♀️. I like(d?) the aspect of science twitter to learn about (and other cool science) outside my field. Also liked broadcasting help questions to a wider audience (science or otherwise). While I enjoyed (and learned from) some science twitter discussions, most of them felt really unmoderated (and exclusive) and not useful in the end. Don't think I'll miss them in that format.

As an ant biologist, I think the discovery of “ant milk” might be the single biggest research finding during my lifetime.

Across ants, maturing pupae make a nutritional exudate for their nestmates:

#science #ants #biology

nature.com/articles/d41586-022

#introduction

SpikeInterface is an #opensource framework in #python to analyze extracellular electrophysiology #ephys data and perform #spikesorting.

We believe that spike sorting development should be a collaborative and community effort and we encourage contributors!

You can read more in the docs:
spikeinterface.readthedocs.io/

Follow a tutorial:
github.com/SpikeInterface/spik

Check out the source code:
github.com/SpikeInterface/spik

Happy #spikesorting to all!

Big welcome to @anneurai!

Anne is an Assistant Professor in Leiden (Netherlands). Let's all celebrate her substantial contributions to understanding how we make decisions:
anneurai.net/

Anne is also been part of the heart and soul of an exciting team science experiment in brain research, the @InternationalBrainLab

Finally, let's applaud Anne's contributions to Green Neuroscience. She continuously offers us all action items for stopping climate change: anneurai.net/green-neuroscienc

Hello Mastodon! #introduction 👋

I'm a cognitive neuroscientist 🧠🔬💻​ at the psychology department in Leiden, The Netherlands 🇳🇱🌷

I research how we make decisions 🔀​ and how our brains change as we age 👵​ (both in 🐁​ and 👩​)

Beyond brains, I care & post about #feminism, #openscience and #climateaction 🌍

Happy to be here!

Overdue #introduction 👋 
I am a #neuroscientist currently finishing an #NSF postdoc fellowship at #Caltech - starting as an Assistant Professor at #UniversityofMelbourne in 2023.
My work uses #experimental & #computational approaches with #fMRI to study the neural basis of decision making in humans. I focus on how the brain processes information related to #threat & #safety. I examine the development of these systems from #adolescence to #adulthood.
Glad to join the #neuroscience contingent!

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