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The Data Science Toolkit is a collection of data tools and open APIs curated by Mashables Pete Warden. You can use it to extract text from a document, learn the political leanings of a particular neighborhood, find all the names of people mentioned in a text and more. He unveiled it today at GigaOM Structure Big Data in New York City.

Metabolic interactions between multiple cell types are difficult to model using existing approaches. Here we present a workflow that integrates gene expression data, proteomics data and literature-based manual curation to model human metabolism within and between different types of cells. Transport reactions are used to account for the transfer of metabolites between models of different cell types via the interstitial fluid. We apply the method to create models of brain energy metabolism that recapitulate metabolic interactions between astrocytes and various neuron types relevant to Alzheimer's disease. Analysis of the models identifies genes and pathways that may explain observed experimental phenomena, including the differential effects of the disease on cell types and regions of the brain. Constraint-based modeling can thus contribute to the study and analysis of multicellular metabolic processes in the human tissue microenvironment and provide detailed mechanistic insight into high-throughput data analysis.

This image shows datasets that have been published in Linked Data format, by contributors to the Linking Open Data community project and other individuals and organisations.

"Navigate the brain in a way that was never before possible; fly through major brain pathways, compare essential circuits, zoom into a region to explore the cells that comprise it, and the functions that depend on it. The Human Connectome Project aims to provide an unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve never before realized conclusions about the living human brain."

Community data visualization tool

Wearable sensors collect data from athletes as they're playing-data that could soon be broadcast during the game.

-The World Bank opened its vast storehouse of data to the public a year ago. Since then, people have come in droves--at the rate of about 100,000 a week--for thousands of free, curated and searchable datasets on education, poverty, health, water access and numerous other indicators.

Analysis of a dating site data from millions of users, by an MIT mathematician. Excellent write-ups and visualizations.

Dutch researchers recently demonstrated a new type of wireless body area network, or BAN for short. A BAN essentially gives the human body its own IP address, and the new techniques demonstrated at IMEC based in Eindhoven incorporate a dongle that plugs into the SD card slot of a cellphone, enabling the streaming of data from the sensors to the cellphone in real time.

What if every scientist could share their data as easily as they tweet about their lunch? Michael Nielsen calls for scientists to embrace new tools for collaboration that will enable discoveries to happen at the speed of Twitter. A physicist turned writer, Michael Nielsen believes online communication and collaboration tools are revolutionizing the way we make scientific discoveries.

if all these kinds of images were combined into one virtual 3D image, if at all possible, that would be wonderful.

A great idea from Bryan Alvarez: It would be great if the data collected from routine surgeries like this could be uploaded into the atlas anonymously. It would help fill it up very quickly!

Our technology transforms the way you work, create, and collaborate. The era of one human, one mouse, one screen, one machine is giving way to what's next: multiple participants, working in proximity and remotely, using a groundbreaking spatial interface to control applications and data spread across every display. This is what Oblong builds. It's why we're here.

this is a new semantic web start up, just run the 6th silicon valley investors competition .. take a look...i see a potential pair up here down the line

An overview diagram of the web of data

The Giome Concept GIOME is a completely new concept in gastroenterology based on the human Physiome project originally proposed by James Bassingthwaighte in 1995. The purpose of the GIOME project is to facilitate integrative modeling of physiological and pathophysiological processes in the gastrointestinal tract and sharing of data, ideas and designs generated by gastroenterologists worldwide.

Researchers with the U.S. Department of Energy (DOE)'s Lawrence Berkeley National Laboratory (Berkeley Lab) have fabricated superlenses from perovskite oxides that are simpler and easier to fabricate than metamaterials, and are ideal for capturing light in the mid-infrared range, which opens the door to highly sensitive biomedical detection and imaging. It is also possible that the superlensing effect can be selectively turned on/off, which would open the door to highly dense data writing and storage.

Your body is beautiful and complex. So is mine. Sometimes our bodies donʼt work so well. Sometimes we donʼt know what to do about it. Imagine if your body and my body are malfunctioning in the same way. Now, what if we found a thousand other people in the same boat... Could we help each other feel better? Could sharing our health data with each other help us figure out which treatments to try? If we got enough people together, could we even do our own medical research studies?

More specifically, LHDL aims to create the technical infrastructure for the Living Human Project (LHP). LHP will create a silico model of the human musculo-skeletal apparatus which can predict how mechanical forces are exchanged internally and externally, from the whole body down to the protein level. This model will be designed as an infrastructure that can be updated and extended whenever new data and algorithms become available. LHDL aims to develop this infrastructure.

The Living Human Project (LHP) is developing a worldwide, distributed repository of anatomo-functional data and of simulation algorithms relative to the human musculoskeletal apparatus, fully integrated into a seamless simulation environment and directly accessible by any researcher in the world. This infrastructure will be used to create the physiome of the human musculoskeletal system.