EinNext Biosciences is a data-driven solution provider for the biopharmaceutical and biomedical industries. With the power of transformative technologies such as Big Data and AI, our aim is to digitally transform these industries.
ML for enzyme/antibody engineering
We develop ML algorithms to solve enzyme/antibody engineering problem using amino acid sequence information and the fitness of mutants using wet-lab experimental data. ML approaches outscore the accuracy of prediction of other forms of computational modeling.
Quick and accurate solutions
Since our approach uses only sequence information for modeling, our algorithms provide quick solutions without compromising on accuracy.
Focus on novelty and patentability
The robustness of our algorithms helps analyse all theoretical combinatorial possibilities of a mutant sequence. This enables us to explore functional mutants in untested regions of the enzyme/antibody ensuring novelty of mutants.
Additivity of mutants for property improvement on a large scale
A unique feature of our ML algorithm is that it provides a reliable solution for the additivity of single mutants(epistasis). An accurate prediction of epistatic of mutants in our approach, that would otherwise impair prediction in other approaches, leads to property improvement of the enzyme/antibody on a large scale.
Cutting-edge enzyme/antibody engineering algorithm and new training data
Our IT and ML experts relentlessly working on the integration of novel ML approaches into our existing methods and addition of new data from our own research will continue to strengthen our ML model prediction accuracy.
Complete Image-to-Computation studies
We perform segmentation of DICOM images obtained from standard imaging methods.
Hemodynamic & FSI analysis in Intracranial aneurysms
Computational fluid dynamics has proved beneficial in analyzing the hemodynamics in the aneurysm before and after treatment. We learn the interaction of stent with blood through strongly coupled fluid-structure interaction studies.
Intracranial Aneurysm rupture prediction
Since a while, computational fluid dynamics has proved its mettle in predicting the rupture status of intracranial aneurysm. We use the association between aneurysm rupture sites and hemodynamic features to conclude its rupture state.
Rupture mechanism of cerebral aneurysm
We research on the rupture mechanism of intracranial aneurysm. The study of mechanism of rupture is immensely valuable as it could save many lives.
Myocardial Ischemia prediction through hemodynamics
We predict myocardial stenosis through computational hemodynamics with the understanding of reserve volume of heart.
Structural validation of stents - bending behavior, recoiling, dog-boning & fore-shortening
Virtual testing of stents includes its structural analysis through computational methods and the results are matched with the FDA standards.
Virtual Fatigue testing & Failure analysis of stents
We analyze the long run effects of stents from its fatigue and durability testing. Strain-based and Stress-based life predictions are made using non-linear finite element studies taking into consideration the effects of cardiac pulsatile loading and stent-vessel oversizing.
Stent migration and FSI studies
The bio-mechanical interaction between a balloon-expandable stent and a stenotic artery gives a better understanding on the possible areas of artery injury during the stent deployment and areas of non-uniform contact pressure after the stent apposition, due to a non-uniform stent expansion.
Design optimization & evaluation of vascular stents
Better optimized stent designs could improve the efficacy of stents. Each design variant undergoes strict evaluation through finite element analysis.
Study the airway resistance and airflow through the tracheobronchial tree
The CT scan image obtained is rendered to generate the airflow model and computational fluid dynamics performed in the model gives the airflow resistance and velocity in every location. This gives us an understanding of the pathophysiology of lower airways that is useful in obstructive lung diseases.
Identify the relationship between total cross sectional area and airflow velocity in tracheobronchial tree
The air velocity is tend to vary according to the total cross sectional area of flow. We take into consideration the relation to identify the areas of constricted airflow in the airway tract. The associated recirculation and vorticity is also be evaluated using the approach.
Analyze the pulmonary drug delivery mechanism
Designing of an effective inhaler requires the knowledge to drug particle deposition in the airway tract on using the inhaler. With the help of CFD analysis we identify the locations of excess deposition and the locations devoid of drug that could help in optimizing the design of asthma inhalers.
Design of orthopedic implants
To obtain clinically acceptable design is very important as it serves in terms of both patient safety and optimal performance of implants. We model the implants keeping this in mind ensuring accuracy and safety.
Screening of orthopedic implant & prosthesis designs
We explore performance of various orthopedic implants and their significance based on design changes through finite element analysis.
Knee & Hip Implant performance evaluation
We work to ensure proper range of motion and synchronic performance of implants. The most important movements of joint are measured to meet the ideal levels.
Durability assessment of Prostheses & Orthoses
Having knowledge of the implant durability is very essential. With this thought we develop methods for testing prostheses with repetitive load cycles to assess their performance and life. We also work on simulating different ranges of motions with different load cycles.
Human gait analysis
The most popular and a systemic process is human gait or walking cycle. We track the movements of joints on each step of gait cycle to ensure that the implant is properly patent to the joint. Study of different types of gait and its interaction with joint and implant is quantified i.e., percentage of abnormal deviation from a normal gait.
Material characterization of dental fillers
Different ﬁlling materials have varied interactions with the dental tissues. We use finite element approach to identify the change in stiﬀness due to various fillers and the resulting stress concentrations that may cause an undesirable break of the loaded tooth.
Study the cement flow pattern in a system
Through computational fluid dynamics we analyze the cement flow pattern, optimum amount of cement required and the speed of crown seating while joining crown and implants using cement. This reduces the cement overflow and its related side effects for the patient.
Implant abutment design & cement application analysis
We re-design implant to retain the excess cement within the implant abutment and study various implant designs using CFD to understand the cement overflow.
Assessment of patient-specific dental implants for better fit
We carry out the 3D analysis to evaluate the biomechanical behavior of patient-specific dental implants and its appropriate redesigning under different loading conditions. It helps to improve preparation designs, indicates the right material or combination of materials to be used in various load and stress conditions in order to reduce material and/or tooth failure in clinical practice.
AI and Predictive Informatics Solutions