Double Check Consulting

Name: Double Check Consulting
Address: 3744 Pennsylvania Avenue suite # 18, Fremont, CA, 94536, US
Telephone: +19529056636
Price range: $$

Home
United States
Fremont, CA
Double Check Consulting

Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from Double Check Consulting, Internet Company, 3744 Pennsylvania Avenue suite # 18, Fremont, CA.

Application of AI, Machine Learning Algorithms and Statistics in Business terms for Healthcare Analytics, Big Data Solutions, EHR Analytics, Car Insurance Fraud, Healthcare Fraud, Economy of Scale for algorithms. • Forecasting/ predictive analytics of future employee health benefit costs based on historic information.
• Analyzing variations in health plan design and insurance coverage.
• Reportin

g data by total cost, employer cost and employee cost, health inflation, diagnoses, and employee population.
• Reporting from Statistical Analysis of Health Plan scenarios using specific employer group claim experience.
• Studying book of business information for preventable conditions and reduced costs through changes in wellness behavior for employer group disease management.
• What would happen if there is a change in the co-pay amount for name brand prescription drugs?
• Which employees would be affected if there is a increase in the deductible for out-of-network services?
• How much would the plan save if chiropractic benefits from employee benefits is eliminated (especially in computer software and construction industry where employees tend to be younger. Plus, this specialty is historically known to be FWA, so elimination will help in Fraud Waste and Abusive treatment that helps no one)?
• Health plan spend analytics on diabetes, asthma and other chronic diseases next year.
• Member Analytics of health plan that will utilize the most healthcare and have the highest costs.
• Predictive Analytics of employee gaps in their care and how can we help them.
• Reporting from Statistical Analysis/ trending on return on investment (ROI) from wellness and disease management programs.
• Find analytics actionable solutions from control costs modeling and help our members obtain the best care possible.
• Statistical Analysis of Health plan utilization and cost analysis by provider, procedure or diagnosis for Fraud, Waste and Abuse reduction in Healthcare and Car Insurance.
• Frequency and cost information associated with key health service groups
• Report Health expenditures for a specified time period, company or department
• Graphical summaries of expenditure, discounts and cost sharing arrangements
• Comparative Analysis to benchmark data by employer industry, location and size
• Statistical Analysis of Prescription drug utilization resulting from preventable medical conditions.
• Trend analysis by diagnosis groups and employee age groups for employer groups.
• Data Analysis and reporting for managing high claimant situations that includes employee co-pay, coinsurance and contribution changes.
• EHR Analytics: Readmission Rate, Length of Stay (LOS), Inpatient and Outpatient Value based treatment.

04/09/2026

Healthcare Fraud is in news and now there's tremendous focus on where and how this fraud is perpetuated. Federal government is developing and improving rules and processes everyday. So in this changing environment,Are you business # knowledge ? While it is is difficult to cover everything in , we provide basics here that goes long ways for understanding about the of Healthcare fraud in USA. So here's the details that we all must know before touching any healthcare fraud data:

https://www.federalregister.gov/documents/2026/02/27/2026-03971/medicare-medicaid-and-childrens-health-insurance-programs-announcement-of-nationwide-temporary

03/01/2026

is progressing at faster speed than Lamborghini, the video is around San Francisco (SFO) from a Uber ride. It is impossible to keep up with AI and Machine learning (ML) algorithms Innovation as everyday San Francisco is buzzing with both:- the pride and prejudices about AI and ML. That's because all businesses are sensitive to complex, unpredictable and random events. So while we can't bone up on every AI and methods invented everyday in SFO, we can keep the basics tight in place to grasp any new AI and ML methods when we need it.
1. First we need to understand Chaos Theory. AI and ML algorithms make lots of predictions about climate variabilities, for example recent deep freeze in January and February 2026 in Florida. Reports finds 70% of Strawberry 🍓 crop and 80% of blueberries are destroyed. Plus tomato crop was damaged because they were not cold tolerant. We need to know sensitivity analysis to examine the accuracy of those predictions.
Chaos Theory is highly applicable to Healthcare Fraud because very smart fraudster after graduating from cyber security attacks and credit card fraud - injects instability and disorder purposely in healthcare claims data. This way they're never ever brought to justice.
2. Application of Perturbation Theory : Businesses often have to take decisions even when what to do completely unknown. Dotcom bust, great recessions, Russia Ukraine war that forced AgriTech companies to think in terms of uncertain business of Agriculture, not pride and prejudices of Technology. Mathematically, those situations may create eigenvalues that are small but significant because they can collapse. Since all companies face good and bad times, mathematically, it is about testing long range interactions. So the mathematical model calls for correction for eigenvalues and eigenvectors. So Perturbation Theory helps to approximate eigenvalues and eigenvectors likely to collapse, bringing seizures to companies bottom line. Of course data needs to clean and understood before such sophisticated mathematics and Statistics endeavors can be undertaken.
3. Regularization Methods: Introduce or add penalty to improve stability of mathematical models. These penalties solve spurious statical clusters formed in data. They're many methods of adding penalties that effectively prevent eigenvalues and eigenvectors from becoming very small and unstable or likely to collapse. So data and business understanding is crucial!
3. Calculus or Integral methods : Calculus with complex integrals of resolvent operator to accurately determine eigenvalues within eigenvalues within defined contours in complex plane, even for complex non-lineat ideas and solutions. Calculus with complex integrals are valuable when long range interactions lead to complex or non- linear eigenvalue problems. They provide robust way to compute the eigenvalue and eigenvectors without requiring initial approximations. Of course there are others but - we are here to build the basics for future talent needs.

REFERENCES
1. Reynolds RJ et al. 2010: The distribution and hypothesis testing of eigenvalues from canonical analysis of Gamma matrix of Quadratic and Correlational selection gradients. Evolution: 64(4): 1076 - 1085.

2. Zou F et al. 2010: Quantification of Population Structure using correlated SNPs by Shrinkage Principal Components. Human Heredity , 70(1): 9-22.

12/29/2025

Happy New Year 🎊!
Between 4/15/2025 and 11/15/2025, We harvested 80 Strawberry fruits from 4 year old soil, 9 year old soil (right) and 13 year old soil from 2013 (left). 50% of fruits were harvested from plant on right - we have yet to find someone achieved such observations Globally. And that's what is the point - wishing everyone tremendously success and achievements in New Year!

Happy 2026 to All from Us!!

11/18/2025

Happy Holidays ⛄🎈 Hope we all eat healthy and enjoy good health over the Holidays ⛄😊!;

09/09/2025

Neural Networks are also interpreted as Normalized high dimension distributions - helps us with applications of Multivariate Statistics. Factor Analysis and Principal Component Analysis are two Machine Learning Algorithms from that distribution and helps with data understanding or hidden patterns in data. Using tools is good , But we also must understand the basics ,for example one way to understand Eigenvalue is how much an eigenvector is scaled when transformation of a vector space is applied. Eigenvectors are non-zero vector that changes only by a scalar factor during linear transformation such as matrix multiplication. They change their direction only when Eigenvalues are negative. In Statistics, Eigenvalues are used to consolidate Variances, for example, in Factor Analysis. Eigenvalue is used to condense variances in Correlation Matrix. Eigenvalues are defined only by square matrix, whereas Singular values are defined for all matrices. Also - since Eigenvectors are scaled entity to show same or opposite direction, it cannot be zero. Importance of Eigenvalues in Machine Learning Algorithms have importance because it helps explain more variation in certain direction such as in Principal Component Analysis.

Eigenvalue condensation means long range correlationss and hence sensitivity to perturbations in Predictions by muting one or more Correlationss by Machine Learning Algorithms - tells us Stability of relationships with Dependent variables. Long Range Correlation in Time Series showing proper Statistical dependency between two distant subsequence; could be due to slow decay of Temporal and Spatial correlation functions. Long range Correlationss are not local, many give rise to extreme Eigenvalues and some Eigenvalues may collapse. Hence Machine Learning Algorithm Hypothesis is," Presence of Local correlationss among markers (genetic) or no Eigenvalue collapse from extreme values arising from Long Range Correlations." What this hypothesis says in simple English is as sample size increases, probability of spurious Eigenvalues arising from Long Range Correlations - declared significant - also increases. Calculus with complex integrals can be value in Machine Learning Algorithms when Long Range interactions lead to Complex or non-linear Eigenvalue problems. This method provides Robust way to compute the the Eigenvalues and Eigenvectors without requiring initial approximations.

Reference:
Reynolds R.J. et. al. 2010. The Distribution and Hypothesis Testing of Eigenvalues from Canonical Analysis of Gamma Matrix of Quadratic and Correlational Selection Gradients. Evolution: 64(4): 1076 - 1985.

07/04/2025

Resource sink relationship for heat stress tolerance in tomato and rice is being studied intensely. Research group of Cao, Xu (Cell: 13th December 2024) from National Academy of Sciences, China found Cell wall Invertase gene (CWIN);performs important resource sink functions, for example converting Sucrose in leaf into Fructose and Glucose, resulting in sweeter tomatoes. Heat Shock Proteins (HSP) Suppresses sugars in tomato. They also knocked- in 10 base pairs HSP into CWIN. Their research group found 33% to 42% increase in tomato yield over control plants without HSP, under heat stress conditions. Per plot yield rescue was 100% over control plots under heat stress conditions. Our research in Fremont in 2018 found heat Street tolerant plants 3 to 5 Brix%, whereas heat stress susceptible plants were at least 8.0 Brix%. While 1993 research points out with with every 1% increase in Brix% there's profit of $70 Million due consumer preferences to internal, natural sugar - heat stress can impact 100% yield loss. So Tomato sauce, soup and juice company will end up with huge loss or millions $ will be pipe dream! We also experienced a few plants simply decreased yield and then stopped flowering 100%. 2018 was a difficult year when heat surged in July and research notes show adding new soil (1/2 lbs ) didn't help at all. That's what Genetics is! Can't make up with new soil or more water. It is simply a case of - got genes?
John Hopkins Kimmel Cancer Center, MA, USA noted (BioTechniques :2024) AI and Machine Learning Algorithms based Fragmentonomics approach can turn the tide for Ovarian cancer patients. They observed when when a healthy cell disintegrates, it's DNA fragments into regular, predictable segments. Cancer cells on the other hand, leaves behind a Chaotic DNA fragmentation patterns. Such DNA fragment patterns, called Fragmentonomics, was applied on 479 Ovarian cancer patients of stage 1 to 4. Standard computational biology found 34%, 62%, 63% and 100% correct cases of patients suffering from stage 1 to 4 ovarian cancer. Application of AI and ML, in comparison to standard statistical methods, found 72%, 69%, 87% and 100% of correct cases in the same samples at stages 1, 2, 3, and 4, respectively.
Why at stage 4, AI or not is same results? Research in cancer biology has shown role of chemotherapy is to destroy these random fragments created during ovarian cancer. But at stage 4, chemotherapy is no help because Heat Shock Proteins especially 70 or HSP70 doesn't allow destruction of fragmented cancer cells. HSP70 is found resistant to chemotherapy and hence presence of this protein in blood signals Terminal Stage of Ovarian cancer or maximum of 6 months to live.
In our Heirloom Tomato Breeding research, the Heat Stress Tolerant plants in 2018 were growing on minimal volume of water. Then excess water was added in July 2018. Suddenly they lost ability to absorb water. Plants started to drop in sun, so moved in shade, still more leaves from those plants started to drop in shade on 7/27/2018! Such observations were interpreted as loss of HSP70 because before excess water, the same plants had no issues in 85* F or more in early July 2018. Hypothesis is: "Excess water signalled metabolic process cascade that led to disappearance of HSP70 in those Heat Stress Tomato plants of 2018". So what proteins turned into active stage from inactive stage after addition of excess water, that made HSP70 disappear? If we know that protein (s), then it will be treatment for stage 4 cancer patients. They can perhaps live longer and see their children graduating from college... And much more!!!

06/05/2025

We say,"we are what we eat!" Doctors globally recommend consumption of Fresh Fruits and Vegetables because they contain vitamins, minerals, phenolics etc needed by normal functioning human body. Is there anything else Fruits and Vegetables offer to human life?
We grow food but they are dependent upon climate, which is never perfect. So crops experience drought, flood, heat etc, and mounting evidence globally finds Micro-RNA are critical for helping fruits and vegetables crop stabilize and survive. MicroRNA are short sequence non- coding RNA, discovered in Scientists in 1993 and awarded Nobel Prize in 2024 for their discovery in 1993.
The evidence is building that Micro-RNA in fruits and vegetables are needed by humans for improvement in diseases. One particular Micro-RNA or miRNA, miR2910, found in fruits and vegetables, was present in high relative amounts in human plasma samples. This miRNA with same 6mer and 7mer-A1 target seed sequences as hsa-miR-4259 and hsa-miR-4715-5p, was predicted to target human JAK-STAT signalling pathway (transmits signal from outside the cell into Nucleus, transcription can be changed to adjust with outer stimuli) Gene, SPRY4 (this gene can be cancer tumor suppressor or enhancer depending upon in Which organ cancer first started. Reference: Yu-VhenLiu, Wen Liang Chen, Hsien- Da Huang: BMC Genomics, volume 18:112, 2017).
miR159 is found in fruits and vegetables and were found inhibiting breast cancer growth (Chin AR et. al. : Cell Research:2016:26(2): 217-228.
Cross Kingdom regulatory functions for plant miRNA (XenomiRs) could shape inter-species interaction of plants with bacteria and human cells signalling and metabolism. Such is the case with miR156e, miR159, miR162 found in fruits and vegetables because they resisted degradation from cooking and human digestion (J. of Physiology and Biochemistry: vol. 80, pages 655-670. Published: 25 April 2024). Plant miRNA as Therapeutic agent could be an effective strategy to treat wide ranging diseases from Cancer to COVID and inflammatory diseases because they enhance atopsis and suppressing proliferation of Human Tumor cells (Plant miRNA reduce Cancer Cell Proliferation by targeting MALAT 1 and NEAT : Beneficial Cross Kingdom interactions: Front. Genet. 11:552490: 2020).
Edible Plants offer lot more than just vitamins, minerals and phenolic! They are good for understanding tumor activities in humans (Olea Europeae: Small RNA in plants with Functional homology to human miR34a in cross-kingdom interaction of anti- tumor Responses. Sci. Rep. 8: 12413: 2018. )

04/29/2025

We have been working hard on our Tomato Genetics projects since 2010, so we do have ton of pictures. But this one stands out as poignant picture of Genes - either you have it and saved and, when you don't.... Not much you can do! The data/ picture here is from 2021 and disease in Concern is White Mold, caused by Scleretinia Spp. - a soil borne fungus that kills 400 documented species of plants. So edible crops to humans from wheat, soyabean to Tomato and strawberries - all are affected. We experienced first hand in 2021- it spreads like wild fire in the months of July and August. There's no Resistance genes found in any crop, only moderately resistant or Tolerant plants, as found and shown in this picture/ data. Many universities research has found adding heavy nitrogen fertilizer causes lush green growth, which is like fuel to fire for White Mold disease. We were able to manage this disease as by creating low density of plants,so disease spread is slowed down.
A recent research transferred genes from Barley that create Oxalate Oxidate into Peanut, and found those recipient peanut plants with this enzyme, Tolerant to White Mold disease. This enzyme breaks Oxalate into CO2 and Hydrogen Peroxide. UV light and Hydrogen Peroxide are known to decompose Oxalate into CO2 and Water. So how did susceptible peanut plant to white mold turned into Tolerant to this disease? Hypothesis is Hydrogen Peroxide in plants turns on genes and proteins that hinders formation and growth of fungal hyphea or white moldy growth. Such genes and proteins are yet to be discovered!!

04/06/2025

Happy Easter 🐰🐣 Everyone! This Purple Foliage Tomato plant is Our innovation from Application of Machine Learning on our data.
For Christmas, we buy presents that includes beautiful foliage plants to give but there was nothing like that to buy gifts in Easter. So we went ahead with Data + ML Algorithms = Purple Foliage Tomato Plant. Large numbers of Market research finds Red and Purple, two most colors in demand from Female Gender, globally.

03/04/2025

As presented above, we discovered yield and disease tolerance genes invoked after CA rains after 2013-14. And above we also talked about SERRATE gene (SC) may be involved. First, how can a plant become disease free or immune from large numbers of pathogens, especially warm season tomato plants diseases as Fusarium and Verticilium? Since we had Tomato plants becoming immune to diseases several times with different genetics , what other Hypothesis can be looked at to explain this discovery?
Another Hypothesis is about Metabolic enzymes. Recent research shows genes in Mitochondria interact with Nuclear genes or some Mitochondria genes take 2nd job of honeymooning in Nucleus (Moonlighting enzymes may lead to discoveries for Cancer Therapies: by Center of Genetic Regulation). Metabolic enzymes are found with energy production and nuclear synthesis. One of those is MTHFD2 found in Mitochondria. In humans, helps energy production and concern for cancer patients. In plants, it helps Folate synthesis or precursor to purines and pyrimidines or building blocks of DNA. In humans, MTHFD2 found in Mitochondria moonlights within Nucleus where it plays pivotal role in ensuring proper cell division. It shows Nucleus has own metabolic needs.
In humans moonlighting MTHFD2 in Nucleus has been found with disruption of energy production needed by cancer cells (Dr. Natalia Pardo Lorente: Nuclear localization of MTHFD2 is required for correct Mitosis progression: Nuclear Communication, 2024). It is possible that similar gene activities leads to immunity against some plant pathogens in our tomato breeding lines.
IMPDH2 gene is involved in ribosomes biosynthesis in plants. In humans it modulates PARP1 gene and overwhelms cancer cells to repair itself and divide properly (Nuclear IMPDH2 controls the DNA damage response by modulating PARP1 activity: Nature Communications 2024). There's significant sequence similarities between plant and animal PARP1, but no pathology research in plants, even though PARP1 therapy is used against breast cancer when chemotherapy fails; probable role of PARP1 in offering immunity to Fusarium, Verticilium wilt, white mold etc diseases in our tomato breeding lines, should be investigated. Needless to write, many moonlighting metabolic enzymes needed to be discovered because cells are lot more connected than thought of. So far metabolic enzymes have become new class of Therapeutic Targets Blocking Cancer cells DNA. Repair and energy production.
These days AI and Machine learning algorithms (ML) have been hyped so much that it feels like to***co sauce on hamburgers to fish fillets. But where's Validation? We don't hear much about Hallucinations of AI these days. But the fact is even the best of Claude, Gemini, GPT4-o etc have 25% hallucinations. In Agritech, AI and ML means planting seeds after scoring them. So in 2024, we planted low scoring tomato fruits/seeds. We found out of 7 plants, three produced no fruits even though one was on new Soil and other two on 2022 soil. Rest four plants produced 11 fruits only for whole year! There brix% or sugar ranged from 5.0 to 7.2. So the yield and sugar, both, were disappointing. They tolerated heat dome of 2024 from June 1 to October 8 easily, have higher internal heat clock set than drought tolerant plants because they are heat and drought tolerant traits. So this way we validated our ML algorithms or low scoring fruits and seeds from ML algorithms gave poor yield and sugar profile. We must validate our AI and ML algorithms because it is mathematics or LOG here and INV there. If the places of these functions are switched, the characteristics of ML algorithms will change!
We found woody phenotype originating from 2019 seed stock. So we also planted 300 seeds in July 2024, and transplanted in August 2024. Out of 300 seeds, 150 germinated and now only one saved because it was protected from January and February 2025 rains. So the plants died from sensitivity to cold and old soil from 2014 and 2017. In 2019, two heirloom breeding lines sugar was low even though they have performed well previously because gene flow from 16 cultivated tomato breeding lines. So validation of ML algorithms led to finding bad plants, characterizing them and digging the past - when and where it all started. It was lots of work but it is satisfying to find there is No gaps in Data and our ML algorithms are good to go! Many AI and ML algorithms companies need to validate their mathematics but, they're busy hyping them. It is a recipe for disaster in long term!!

01/29/2025

Recently, Molecular Plant Breeders and Physiologists at Texas A&M University made interesting discovery while working with their Corn and Rice Breeding ( Reference: Texas A&M publication in Nature Cell Biology: SERRATE is Needed for miRNA production).
SERRATE is a protein needed for Polymerase II assembly. That's well known and couldn't explain obvious high yield of certain Corn and Rice Breeding lines. it is also known from Research in UK that proteins found in humans only when engineered into cereal plants, produces bumper crop. The yield in Texas with Corn and Rice had high yield but bumper crop. That suggested protein involved is conserved in plants and Humans. This reasoning led to SERRATE protein where they found this protein is required for miRNA or micro RNA or small non coding rna or 20 mer nt RNA. In 2024, two researchers were awarded Nobel Prize for Medicine for their Discovery of micro RNA in earthworm in 1993. Their research was taken as garbage first biological scientist believed no correlation with human genetics.

Corn and Rice scientists at Texas A&M found SERRATE protein adds N6 - Adenosine Methylation or M6A and that increases yield in those cereal crops. Further, this protein interacts with at least 50 different proteins and keeps disorganized parts of cell separated from that of organized one. This makes Transcription process efficient and effective. For high yield, plants need lot more flowering, and that can't happen without cell division and chromatin. Mutation in SERRATE protein lead to abnormality in these two very critical cellular process; pro abnormal growth and low or no flowers in plants, whereas in humans that Defect produces Cancer. Now, those Corn and Rice scientists are working with Cancer Scientists, exploring role of M6A in suppresses of Cancer; may lead to treat cancer patients.

In Arabidopsis plants, SERRATE protein is known for Meristem Activity, leaf development, inflorescence architecture, development of phase transition such as seedlings to mature plants to flowering plants, Modulation of gene expression via Chromatin modification. Arabidopsis researchers found such a profound effect on plant is due to SERRATE gene also involved in formation of 720 amino Acid Zinc Finger Protein. It is well known that similar Zinc Fingers in Humans are also involved in Various forms of Cancer.

In our research at Fremont, CA , in 2013 - two plants somehow managing Fusarium and Verticilium diseases produced only 33 and 20 fruits. But after 2013 - 2014 winter, the two plants became Disease Free! That explains why the same two plants produced 100 and 60 fruits without fertilizer and pesticides in 2014. Our Hypothesis is SERRATE Gene (SE) is involved. It is known to science for 10 years that in plants, SE can form complexes with diverse proteins to fine tune both Development and Stress Regulations (cold, disease, saline soil stress etc).

Address

3744 Pennsylvania Avenue Suite # 18
Fremont, CA
94536

Telephone

+19529056636

Website

http://www.doublecheckconsulting.com/

Alerts

Be the first to know and let us send you an email when Double Check Consulting posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to Double Check Consulting:

Shortcuts

Want your business to be the top-listed Computer & Electronics Service in Fremont?