Translational Research

Thyroid-SPOT for mobile devices: personalised thyroid treatment management app

Thyroid-SPOT is a mobile application that allows users to be able to analyse thyroid function tests laboratory reports by computing the homeostatic euthyroid set point based on regressing thyroid function data according to a patented algorithm to define the parameters that maximize the goodness-of-fit to a negative exponential model for target-centric individualized treatment.

type: 
Journal Paper
journal: 
Scientific Phone Apps and Mobile Devices 2017, 3:4 doi: 10.1186/s41070-017-0016-y
Url: 
https://scientificphoneapps.springeropen.com/articles/10.1186/s41070-017-0016-y
Date of acceptance: 
2017-08-01

The role of Antibody Vκ Framework 3 region towards Antigen binding: Effects on recombinant production and Protein L binding

Antibody research has traditionally focused on heavy chains, often neglecting the important complementary role of light chains in antibody formation and secretion. In the light chain, the complementarity-determining region 3 (VL-CDR3) is specifically implicated in disease states. By modulating VL-CDR3 exposure on the scaffold through deletions in the framework region 3 (VL-FWR3), we further investigated the effects on secretion in recombinant production and antigen binding kinetics.

type: 
Journal Paper
journal: 
Scientific Reports 7, Article no: 3766 (2017), doi:10.1038/s41598-017-02756-3
Url: 
https://www.nature.com/articles/s41598-017-02756-3
Impact Factor: 
4.259
Date of acceptance: 
2017-04-18

APD SpectBT: Arduino-based mobile vis-Spectrophotometer

Quantification of samples is an integral step in numerous biological and chemical experiments. Spectrophotometers are often used together with colorimetric assays that react with the compound of interest in the samples. However, spectrophotometers are often costly, bulky and immobile. To increase the convenience and ease the process of spectrophotometry, the APD SpectBT was developed using the Arduino-based platform to create a smartphone dependent mobile spectrophotometer.

type: 
Journal Paper
journal: 
Nature Methods Application Notes 2017

Discovery of a novel splice variant of Fcar (CD89) unravels sequence segments necessary for efficient secretion: a story of bad signal peptides and good ones that nevertheless do not make it

The IgA receptor, Fcar (CD89) consists of five sequence segments: two segments (S1, S2) forming the potential signal peptide, two extracellular EC domains that include the IgA binding site, and the transmembrane and cytoplasmic tail (TM/C) region. Numerous Fcar splice variants have been reported with various combinations of the sequence segments mentioned above. Here, we report a novel splice variant termed variant APD isolated from a healthy volunteer that lacks only the IgA-binding EC1 domain.

type: 
Journal Paper
journal: 
Cell Cycle 2016, doi: 10.1080/15384101.2017.1281480
Url: 
http://www.tandfonline.com/doi/full/10.1080/15384101.2017.1281480?scroll=top&needAccess=true
Impact Factor: 
3.952
Date of acceptance: 
2017-01-05

Structural analyses of 2015-updated drugresistant mutations in HIV-1 protease: an implication of protease inhibitor crossresistance

Background: Strategies to control HIV for improving the quality of patient lives have been aided by the Highly Active Anti-Retroviral Therapy (HAART), which consists of a cocktail of inhibitors targeting key viral enzymes. Numerous new drugs have been developed over the past few decades but viral resistances to these drugs in the targeted viral enzymes are increasingly reported. Nonetheless the acquired mutations often reduce viral fitness and infectivity.

type: 
Journal Paper
journal: 
BMC Bioinformatics 2016, 17(Suppl 19):500 doi: 10.1186/s12859-016-1372-3
Url: 
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1372-3
Impact Factor: 
2.435

APD Colony Counter App: Using Watershed Algorithm for improved colony counting

The counting of colonies to quantitate bacteria is an important process in labs for research, clinical diagnosis, and environmental monitoring e.g. in water. Generally counted manually, progress in technology has automated the process through colony counters that can be purchased but can be costly. While efficient, there remains also a challenge correctly detecting clustered colonies compromising inaccurate counts. Leveraging on the smartphone camera, we developed an app that processes images of colony plates and automatically counts them.

type: 
Journal Paper
journal: 
Nature Methods Application Notes 2016
Url: 
http://www.nature.com/app_notes/nmeth/index.html
Impact Factor: 
32.072
Date of acceptance: 
2016-08-11

An overview of clinically and healthcare related apps in Google and Apple app stores: connecting patients, drugs, and clinicians

Successful clinical outcomes involve both clinician and patient factors such as good decision making, accurate diagnosis, patient compliance, effective monitoring of the condition, and accurate interpretation of clinical results. With a general trend in healthcare towards personalized medicine, the smartphone holds great potential to play a role in personalized care and aid in the above mentioned factors. Through the use of apps, the increasingly powerful smartphone may be a useful aid in the healthcare and clinical industries.

type: 
Journal Paper
journal: 
Scientific Phone Apps and Mobile Devices 2016 2:8 DOI: 10.1186/s41070-016-0012-7
Url: 
http://scientificphoneapps.springeropen.com/articles/10.1186/s41070-016-0012-7
Date of acceptance: 
2016-06-06

The world of biomedical apps: their uses, limitations, and potential

Many significant biomedical discoveries of old were made in the private property of famous scientists e.g. Leeuwenhoek and Archimedes. Today, discoveries are made in brightly-lit, hi-tech, ergonomic buildings that house research institutes. While such development is advantageous in many aspects, the spatial restriction of research into well-organized structures may delay and limit the spontaneity necessary for discoveries.

type: 
Journal Paper
journal: 
Scientific Phone Apps and Mobile Devices 2016 2:6 DOI: 10.1186/s41070-016-0009-2
Url: 
http://scientificphoneapps.springeropen.com/articles/10.1186/s41070-016-0009-2
Date of acceptance: 
2016-04-29

Optimal processing for gel electrophoresis images: Applying Monte Carlo Tree Search in GelApp

In biomedical research, gel band size estimation in electrophoresis analysis is a routine process. To facilitate and automate this process, numerous software have been released, notably the GelApp mobile app. However, the band detection accuracy is limited due to a band detection algorithm that cannot adapt to the variations in input images. To address this, we used the Monte Carlo Tree Search with Upper Confidence Bound (MCTS-UCB) method to efficiently search for optimal image processing pipelines for the band detection task, thereby improving the image processing algorithm.

type: 
Journal Paper
journal: 
Electrophoresis 2016, 10.1002/elps.201600197
pubmed: 
http://onlinelibrary.wiley.com/doi/10.1002/elps.201600197/full
Url: 
http://onlinelibrary.wiley.com/doi/10.1002/elps.201600197/full
Impact Factor: 
2.482
Date of acceptance: 
2016-06-20

Optimal processing for gel electrophoresis images: Applying Monte Carlo Tree Search in GelApp

In biomedical research, gel band size estimation in electrophoresis analysis is a routine process. To facilitate and automate this process, numerous software have been released, notably the GelApp mobile app. However, the band detection accuracy is limited due to a band detection algorithm that cannot adapt to the variations in input images. To address this, we used the Monte Carlo Tree Search with Upper Confidence Bound (MCTS-UCB) method to efficiently search for optimal image processing pipelines for the band detection task, thereby improving the image processing algorithm.

type: 
Journal Paper
journal: 
Electrophoresis 2016, 10.1002/elps.201600197
Url: 
http://onlinelibrary.wiley.com/doi/10.1002/elps.201600197/full
Impact Factor: 
3.028
Date of acceptance: 
2016-05-23
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